Quantitative Analyst Job Description Sample
Lead Digital Quantitative Analyst (93245)
· Utilize analytic tools (i.e. SAS, SQL, CHAID, Python, and Open Source tools such as R is a plus) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for management to make timely, informed decisions.
· Analyze data and create and validate assumptions that feed into volume growth and profitability strategies
· Draw conclusions by making recommendations for developing or modifying existing strategies.
· Incorporate response models and underwriting models into marketing programs
· Continually enhance existing scorecards
· Guide junior analysts with their development
Lead analyst that will contribute to and help develop team designed to push industry boundaries while enabling to deliver the most innovative approach to lending. The ideal candidate's skills are a hybrid combing business acumen and strategy with competence in statistics, new data sources, modeling, computer science, and analytics.
He or she will combine these skills to create strategies designed to optimize marketing spend, drive growth, and increase profitability; creating best-in-class marketing frameworks based upon various supporting analyses and research including customer segmentation, competitive analysis, marketing models, underwriting models, and historical campaign performance.
A successful candidate will grow their strategic professional competencies by contributing to the innovation, creation, and launch of value-adding products that uniquely leverage the vast amount of data resource has access to. For instance, this role will be charged with driving Present customer growth through direct marketing efforts for both traditional branch channel as well as the digital channel, while continuously enhancing the product.
A successful candidate will come up with new answers to old questions, develop insights, and push the traditional boundaries of the lending industry.
We are looking for a financial engineer to join our model verification team. The duties of the financial engineer include:
- Verify and further develop the financial models underlying the general credit policies and rating methodologies.
- Build financial model prototypes, implement test procedures, and assist with the implementation of new control processes for rating models.
- Perform econometric back tests of current rating methodologies for credit derivatives, structured products, and other asset classes, and prepare analytical projects to confirm the ability of financial models to assess credit risk.
- Assist with ad-hoc quantitative projects to update and improve the rating process (structured finance simulations, macroeconomic projects, etc.).
- Publish research and participate in professional training for the analytical staff.
- The position requires collaboration with rating analysts, model managers, research groups, and development groups
- Masters in Financial Engineering, Math, Econometrics, Statistics, Finance, Physics or Business.
- 1+ year of overall experience in financial modeling - experience in credit risk, credit derivatives or structured finance a strong plus. Exp. may be gained through employment or academic study.
- Understanding of model development including model design and implementation.
- Working knowledge of 2 of the following technologies: VBA, C++, C#, Matlab, R.
- Knowledge of SQL and cash flow waterfall modeling is a plus.
- Must be hard working, easy to work with, and have a willingness to learn new technologies.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email .. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law.
MIS and MSS Candidates are asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Operations Management And Quantitative Analyst
IB Asset Management ("IBAM") is a pioneer in online investing that offers actively managed portfolios with low minimums and low fees. IB Asset Management’s technology lets our clients automatically make the same trades professional Portfolio Managers make with their own money.
IB Asset Management, is a subsidiary of Interactive Brokers Group, Inc. (NASDAQ: IBKR). Our clients have access to more than 100 market centers in 26 countries from a single account. We are the lowest cost provider of brokerage services and the largest U.S. electronic broker based on daily average revenue trades executing 657,000 trades per day*. At Interactive Brokers, you will be part of a dynamic, multinational, fast paced, results oriented team working to provide our customers with state-of-the-art trading technology, superior execution capabilities, worldwide electronic access, and sophisticated risk management tools.
*Figures as of March 31, 2017. For more information about Interactive Brokers visit: www.interactivebrokers.com
• Daily reconciliation of client and portfolio manager accounts
• Entering and updating daily transaction records manually or using automated tools
• Monitoring automated trading activity and handling exceptions
• Production of compliance and operational reports
• Setup of client and portfolio manager accounts on both the IBAM platform and with our custodian
• Analyzing and monitoring investment portfolios offered by the firm
• Designing and building in-house quantitative portfolios
• Defining and building internal and external reporting of risk, transaction cost analysis and business metrics
- Bachelor's degree in Finance, Economics, Business Administration, Information Technology
- 1-2 years’ experience with investment management operations
- Understanding of investment performance and risk analysis ; Knowledge of equities, funds and other financial instruments
- Experience programming in R
- Experience programming in SQL
- Professional designation: CFA or CFP or Series 65
Additional skills and attributes:
- Highly numerate, analytical, rigorous and detail oriented
- Strong Excel skills
- Team player with the ability to work autonomously at times
- As a small fast moving company there may be opportunities to work in other areas of the business, so broader experience would be an asset, including but not limited to:
- accounting and payments
- scripting e.g. VBA, Java
- IT support
R&D Quantitative Analyst
The Analytics Research and Development team within Ford’s Global Data, Insight and Analytics (GDI&A) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of model development, evaluation, and deployment. The analyst will have significant autonomy in conducting research and selecting modeling methodologies. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automotive and mobility industries.
Analytics R&D is a cross-functional research team within Ford GDI&A that focuses on applying advanced quantitative methods to solve a wide variety of challenging problems across multiple business areas. Past and current projects include: quantitative marketing analytics; application of statistical / econometric / machine learning techniques to economic, financial, and marketing related business problems; social network analysis; quantitative financial risk management and portfolio optimization; and economic scenario simulation and analysis.
- Research and apply the latest quantitative techniques toward the solution of important problems from many areas of the automotive and mobility industry
- Review academic / industry literature, develop and test models, and gain insights from research findings
- Translate ideas and theory into solutions from which the business can grow
- Identify new and novel data sources and explore their potential use in developing actionable business insights
- Explore emerging technologies and analytic solutions for use in quantitative model development
- Help maintain and enhance existing models
- Master's Degree
- 3+ years of experience (including time spent during Ph.D.) doing quantitative research in any of the following areas: 1) advanced econometrics, statistics, time series analysis, and/or forecasting, 2) machine / statistical learning, 3) optimization / mathematical programming, 4) quantitative marketing, 5) quantitative macroeconomic forecasting, simulation, and scenario analysis.
- 2+ years of experience in at least two of the following languages: R, Python, MATLAB, Java, C/C++/C#, SAS
- Ph.D. in a quantitative field such as Statistics, Economics, Mathematics, Physics, Operations Research, Computer Science, Quantitative Social Science, Quantitative Marketing, Quantitative Finance
- 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
- Demonstrated skills in applying techniques from econometrics, statistics, and/or machine / statistical learning to large structured and unstructured data sets
- Experience with big data technologies such as Spark, Hadoop, Map/Reduce, Hive, etc.
- Experience with parallel / grid / GPU computing
- Good oral and written communication skills
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
The BMO Disciplined Equity team manages over $25B of active equity strategies spanning a variety of geographies, cap spectrums, and styles. The team employs a hybrid fundamental-quantitative approach, investing based on fundamental principles and implementing through a rigorous quantitative process.
The team consists of both fundamental and quantitative professionals who are jointly responsible for all steps in the investment process, starting with research and extending through portfolio management. We are located in Chicago, Toronto, and Milwaukee, and as a consequence of strong growth in our business, we are looking to add an equity analyst to the team. Quantitative analyst role This quantitative equity analyst role is based in Chicago.
This would be a junior position for someone looking to grow their career with the team. The quantitative analyst could either have prior work experience or be a recent/upcoming graduate. The candidate will be responsible for performing quantitative analysis in the areas of factor development, model design, portfolio construction, and risk management.
The equity analyst will also have a significant role in maintaining and enhancing our technology infrastructure. Specific responsibilities would include: Working with the investment team to translate fundamental insights into a systematic, data-driven investment process Executing and presenting projects in the areas of factor development, model design, portfolio construction, and risk management Presenting research to internal and external clients as appropriate Monitoring sell-side and academic research for the potential to improve our investment management process Evaluating alternative third party data sources, models, or software Examining advanced statistical techniques or modeling technology.
Ideally this position would be involved in developing our team's capabilities in machine learning and other advanced analytical techniques, but that is not required Developing tools to assist in research and portfolio management Monitoring and verifying our day-to-day data feeds and operational processes Supporting and enhancing our overall quantitative infrastructure platform Education/experience: Bachelor, Masters or PhD degree in an analytical field such as mathematics, economics, statistics, computer programming, engineering, any of the hard sciences, business, or equivalent CFA charterholder preferred but not required Practical work experience in the investment management industry beneficial but not necessary The ideal candidate has: Experience with quantitative equity analysis preferred but not required Experience in a data-driven field with statistical model preferred but not required Some experience with machine learning preferred but not required Previous coursework in the areas of mathematics, statistics, econometrics, computer science, or similar strongly preferred Working knowledge of capital markets and investment management Desire to apply advanced analytics within an investment context Experience in managing, processing and analyzing large data sets Demonstrated programming skills in any language, although R would be particularly useful Strong attention to detail along with demonstrated technical skills The desire to contribute meaningfully in a small, entrepreneurial team environment An open and inquisitive mind to accept new ideas while challenging existing assumptions Strong teamwork and communication skills We're here to help At BMO Harris Bank we have a shared purpose; we put the customer at the center of everything we do – helping people is in our DNA.
For 200 years we have thought about the future—the future of our customers, our communities and our people. We help our customers and our communities by working together, innovating and pushing boundaries to bring them our very best every day. Together we're changing the way people think about a bank.
As a member of the BMO Harris Bank team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs.
From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://bmoharriscareers.com. BMO Harris Bank is committed to an inclusive, equitable and accessible workplace.
By learning from each other's differences, we gain strength through our people and our perspectives. BMO Harris Bank is an Equal Opportunity Employer for all, inclusive of Minorities, Women, Veterans, and Persons with Disabilities. SDL2017
Operations Management And Quantitative Analyst
Overview IB Asset Management ("IBAM") is a pioneer in online investing that offers actively managed portfolios with low minimums and low fees. IB Asset Management's technology lets our clients automatically make the same trades professional Portfolio Managers make with their own money.
IB Asset Management, is a subsidiary of Interactive Brokers Group, Inc. (NASDAQ: IBKR). Our clients have access to more than 100 market centers in 26 countries from a single account. We are the lowest cost provider of brokerage services and the largest U.S. electronic broker based on daily average revenue trades executing 657,000 trades per day.
At Interactive Brokers, you will be part of a dynamic, multinational, fast paced, results oriented team working to provide our customers with state-of-the-art trading technology, superior execution capabilities, worldwide electronic access, and sophisticated risk management tools. Figures as of March 31, 2017. For more information about Interactive Brokers visit: www.interactivebrokers.com Responsibilities Operations responsibilities • Daily reconciliation of client and portfolio manager accounts • Entering and updating daily transaction records manually or using automated tools • Monitoring automated trading activity and handling exceptions • Production of compliance and operational reports • Setup of client and portfolio manager accounts on both the IBAM platform and with our custodian Analyst responsibilities • Analyzing and monitoring investment portfolios offered by the firm • Designing and building in-house quantitative portfolios • Defining and building internal and external reporting of risk, transaction cost analysis and business metrics Qualifications Required : Bachelor's degree in Finance, Economics, Business Administration, Information Technology 1-2 years' experience with investment management operations Understanding of investment performance and risk analysis ; Knowledge of equities, funds and other financial instruments Experience programming in R Desirable:
Experience programming in SQL Professional designation: CFA or CFP or Series 65 Additional skills and attributes: Highly numerate, analytical, rigorous and detail oriented Strong Excel skills Team player with the ability to work autonomously at times As a small fast moving company there may be opportunities to work in other areas of the business, so broader experience would be an asset, including but not limited to: accounting and payments scripting e.g. VBA, Java IT support Operations Management and Quantitative Analyst
Quantitative Analyst - Research Data Analytics
WELLINGTON MANAGEMENT Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 50 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate.
As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients. POSITION Wellington Management Company is seeking to add a Quantitative Analyst focused on research data analytics, based in Boston. The world is full of fascinating questions.
In this role, you will have an opportunity to research impactful questions about the future of companies, economies, financial markets, new technologies, changing industries, and use those insights to the benefit of thousands of retirees and savers who are counting on us to make prudent financial decisions for them. You will use creative research methods, have industry-leading access to data and experts, and collaborate with colleagues around the world. The primary focus of the analyst will be to work with investors in the identification of novel data sets and the application of advanced data analytics and machine learning techniques to enhance investment decision making capabilities.
The Analyst will be part of a cross-functional team tasked with integrating advanced data analytics techniques into the research process of various teams and disciplines across the firm. RESPONSIBILITIES Conduct applied research into available data sets and analytical methodologies which may prove useful in enhancing the investment process Pursue projects in these areas from idea generation and prototyping to potentially validation within the investment community and putting into production Act as an internal consultant and research analyst to assist Wellington investors evaluate and pursue data-oriented research projects Where feasible, identify and pursue opportunities for incorporation of these research ideas into the Quantitative Group's stock selection models. QUALIFICATIONS We are looking for a self-directed, hard-working team player.
This person must be inquisitive, intellectually curious and capable of managing the demands of multiple projects at one time. He/she should be a quick study with high energy. This position is appropriate for individuals with strong analytical capabilities, strong written and verbal communication skills, and an eagerness to apply both in the context of a collaborative investment decision-making process.
Specific qualifications for the position are the following: Strong academic record with an advanced degree in a quantitative field such as computer science, mathematics, or statistics Experience working with probability, statistics, time-series and cross-sectional analysis, especially with very large data sets Proficiency with one or more modern functional and object-oriented programming languages Expertise with software frameworks supporting scientific computing, data management, mathematical optimization, and machine learning Effective communications skills, both written and oral Curiosity and ability to tackle problems creatively; strong work ethic Ability to organize, manage, and prioritize time well Proven ability to collaborate effectively in a cross-functional team Interest in applying computational methods to tackle challenging real-world problems within a domain such as finance and economics JOB TITLE Quantitative Analyst
Research Data Analytics JOB FAMILY Trading LOCATION 280 Congress As an equal opportunity employer, Wellington Management considers all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at Wellingtonicareerhelp.com . Quantitative Analyst
Research Data Analytics
Quantitative Analyst (Assoc/Sr/Lead/Principal), Advanced Analytics
Did you know that there is no industry that touches more of humanity than Energy? In fact, Energy builds societies. Are you passionate about Clean Energy and empowering humanity in an intelligent and sustainable fashion?
Then you think like us. Do you have the skills, intellect, creativity, and drive to transform, not just a company, but an industry through Big Data and Advanced Analytics? Then come join us as we transform the energy industry.
We are the Advanced Data & Analytics team at National Grid and we are looking for world-class talent to join us on our mission: Bringing Energy to Life through Advanced Analytics.
To conduct complex quantitative analyses and develop sophisticated advanced quantitative models to support the Advanced Data & Analytics Team in helping the company achieve its regulatory, financial, operational and growth goals. Key Accountabilities: Employees are expected to deliver on the key accountabilities list above as well as those listed below.
Contributing to the establishment of a "Center of Excellence" in the firm for the development of advanced quantitative analytics, modeling and analysis for addressing and solving a wide range of problems across the business. Develop, maintain and enhance all gas and electricity usage, load and customer growth forecasting using any and all appropriate modeling technologies and training the relevant teams on model usage and results interpretation. Develop quantitative methods, analyses and tools that support senior management in enhancing customer engagement and focusing marketing campaigns, understanding the impact of brand perceptions, customer needs, market penetration, competitors, complex deal structures, hedging plans, asset optimization and market changes on the gas & electric portfolios.
Produce high level and detailed models, such as simulation/optimization models, and commodity, asset and market quantitative models, and other advanced analytical systems in order to support senior management in designing solutions and defining strategies relevant to support our Advanced Analytics efforts. Analyze key themes from a wide range of internal and external data sources, including the use of modeling tools, and select relevant information in order to identify how key themes and market trends may impact the business. Translate functional policy into processes and procedures that drive greater efficiencies for National Grid and ensure compliance with regulations relevant to existing gas and electricity portfolios and proposed transactions.
Promote and implement procedural best practices in order to ensure all working practice (and where relevant, health and safety standards) are compliant with National Grid policies and regulatory requirements. Monitor and control work undertaken by team, maintaining progress and forecasting in order to ensure projects are delivered according to schedule and within budget. Develop and maintain effective relationships with key stakeholders in order to share technical advice, best practices and to understand and challenge business decisions when appropriate.
Knowledge & Experience
Master's or PhD Degree required in Engineering, Mathematics, Applied Computer Science, Applied Management Science or Operations Research plus experience in advanced quantitative analysis and modeling. Additional expertise in relational databases, stored procedures, SQL, Non-SQL database systems and state-of-the-art programming languages.
Strong experience with "big data" and "big analytics" efforts and cloud-based high-performance computing. Exceptionally strong advanced analytical, problem engineering and problem solving capabilities as well as the ability to design, create and work with highly advanced and sophisticated computer models and tools in any/all of the following areas: o Modeling: of time series, assets(contracts, physical entities), networks (power, gas) and business processes and strategies using many different modeling methodologies, e.g. theoretical/empirical, deterministic/stochastic, fitted/self-adaptive and multi-scale/hierarchical, o Simulation: of high-dimensional stochastic time series, sequenced events and constrained network flow, massive agent-based simulation o Optimization: all types (linear, integer, quadratic, nonlinear, combinatorial, etc.) with particular emphasis on extremely large, multi-level, multi-stage, multi-objective stochastic problems, o Data Mining & Analysis: supervised learning and unsupervised learning methodologies, o Geospatial Modeling & Analysis: statistical, structural, relational, etc. o Image, Remote Sensing & Signal Processing: Visual, LiDAR, Hyperspectral, IR, Signal Decomposition o Artificial Intelligence:
Deep Learning, Expert Systems, Natural Language Processing, Process Automation o All Classes of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive & Cognitive Demonstrated ability to bring creative and innovative economic analytical, modeling and risk analysis approaches to the business. Demonstrated ability to effectively manage and ensure timely delivery of highly technical and complex projects.
Strong personal and interpersonal skills as listed below: Highly motivated, exhibiting an exceptional work ethic and have the ability to work effectively independently, as part of a team and as a leader of a team, Very good communication skills in order to coordinate their effort with other members of the team and to provide management with concise, well supported recommendations on important projects, Able to see multiple relationships between different sources of data, identifying several likely causes or consequences of a situation, Willing to challenge existing ways of working and continuously seek ways to do things better in order to drive greater accuracies, efficiencies and effectiveness, Identifies several likely causes or consequences of a situation, bringing creative problem solving and innovative operational approaches to the business, Consorts with multiple stakeholders, asking probing questions and challenging initial responses from different sources, Establishes a high level of confidence with various management personnel and external contacts by adapting approach and considering what is important to the audience, tailoring style accordingly, Actively builds and maintains a network of relationships, outside normal business contacts, Promotes team effectiveness by soliciting input from team members, communicating expectations of the team and delegating responsibilities while providing support and structure This position is one of National Grid's career path roles which provide for promotional opportunities within and across salary bands as you develop and evolve in the position by gaining experience, expertise and acquiring and applying technical skills. National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.National Grid is proud to be an affirmative action employer.
We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team. SDL2017
Coral Springs, Florida
Who We Are and What We Do
What keeps things humming at BFS? Right process, driving the right answers to the right business people. We use technology to speed up giving profitable businesses the loans they need to thrive. We have funneled $1.5 Billion to companies in North America and the UK. This is just a fraction of what we will accomplish. To meet the challenge of the future, we need to build our predictive analytics/risk team. Today, the risk management team at BFS Capital seeks a Quantitative Analyst to manage portfolios for the risk group and maintain risk dashboards, while managing and developing the database in AWS and Mongo DB. The Quantitative Analyst will conduct portfolio analysis using Power BI. He or she will develop interactive dashboards, utilizing D3js Maintain and will build relevant risk models, while providing full and complete documentation of the models and their progress.
Who You Are
You enjoy processing data and you live in the world of modeling, correlations and portfolio optimization. In the past, you may have worked on risk and pricing issues for a hedge fund or loan organization. You may also have turned mathematical operations into C++ Code. You are an ace at Power BI, D3js, unix/linux, R, SQL, Mongo DB. You have also worked with Python and having a good knowledge of AWJ infrastructure.
You are both detail and process-oriented. You are reliable, accurate and fast. Nothing misses your attention. You thrive in an environment that changes, improves, and alters process to do things better. Your career means the world to you. You studies have prepared you to take on complex tasks, absorb knowledge and new concepts quickly and to persist until you see results.
You understand how to use technology to compute risk, numerical relationships and you excel at building interactive intelligence dashboards and performing API Integrations.
What You Will Do
- Conduct Portfolio analysis using Power BI;
- Develop interactive dashboards, utilizing D3js; and
- Maintain and develop relevant risk models, provide full and complete documentation of the models.
- Master’s degree in Computer Science, Statistics, Engineering, Math or related quant field highly preferred. PhD is a plus.
- Advanced SQL development (Stored Procedures, Triggers, Views, Functions), analysis of SQL server instances, databases and queries
- Ability to design and develop business dashboards and visualizations using interactive tools for portfolio management and risk analysis
- Experience with R and maintaining statistical packages
- Programming with C/C++, Java or similar
- Working knowledge of AWS Infrastructure
- Pro-active approach and sense of urgency
- Exceptional communication, organization, and interpersonal skills
- Knowledge of how to create insightful reports and documentation
- Adaptability, flexibility and willingness to make adjustments
- Desire to excel at BFS; focus and purpose
- Computer skills: Microsoft Word, Internet, Excel, PowerPoint
- Willingness to comply with the requirements of the Bank Secrecy Act (BSA) and with the Office of Foreign Account Currency (OFAC), wherever applicable
- Opportunities for top performers to build a career
- Motivated, smart and focused predictive analytics/risk team
- Rewards for accuracy and results
- Designer offices with snacks, tea, break areas and secure employee parking
- Restaurants, banking, shopping and recreation within minutes of the office
- Fun Company outings and events
- Health insurance, dental, 401(k) and other benefits
Competitive Base + Benefits.
Send your resume to firstname.lastname@example.org.
Overview First Republic is an ultra-high-touch bank that provides extraordinary client service. We believe that one-on-one interactions build lasting relationships.
We move quickly to serve our clients' needs so that their financial transactions are handled with ease and efficiency. Client trust and security are paramount in our line of business. Ultimately, our goal is unsurpassed client satisfaction which will lead to personal referrals – our number one source of new business.
We recognize that our competitive advantage starts with our people and our culture. At First Republic, we work hard and move quickly as a very coordinated team. If you are looking for an opportunity to grow and contribute in a fun, fast-paced environment, First Republic is the place for you.
We have exceptional people focused on providing extraordinary service. As a strategic service offering, First Republic's "Enterprise Data and Client Insight" (EDCI) office works collaboratively with business and Information Technology to manage engagements and leads teams of data analysis resources and assists the bank to leverage data as an asset throughout its business processes by offering information solutions to develop enterprise views of data - including Analytics, Business Intelligence, Data Management and Data Quality, and Governance. This individual will be at the nexus of helping the bank's leadership maximize the value of our data to make more informed decisions, service clients and capitalize on competitive opportunities in increasingly sophisticated ways.
Over the years, First Republic's focus on exceptional, relationship-based service and consistent leadership has led to continuous growth and profitability. At First Republic, it's all about embracing change and every person has the opportunity to grow and contribute. First Republic is a fast-moving, high-growth institution with huge potential.
It offers variety, challenge, responsibility and the opportunity to realize your leadership potential. Being a part of the First Republic team means you will specialize in a particular competency - Risk, Banking and Capital Investments, or Information Technology Services. Responsibilities As a Quantitative Analyst, this person will work on a number of initiatives to improve and develop the analytics infrastructure in all areas of the bank.
This person will work on cross divisional project teams with members of EDCI, Enterprise Risk, Treasury, Financial Planning & Analysis teams, Information Services, and Data Management teams. Possible projects include deriving customer insights through predictive modeling; addressing business needs and recommend solutions; determining the most effective means of meeting our risk, regulatory reporting and financial planning requirements; determining quantitative strategies for social media and marketing. Key Responsibilities include assisting the Chief Data Officer and Head of Analytics in envisioning, designing, planning, building and deploying (release, maintenance, monitoring) information and analytics solutions.
From time to time, the analyst will participate in related activities including various data governance and data profiling initiatives, application development and vendor evaluation, Executive Management Reports and other analytic activities as needed. The ideal candidate has a broad skillset in areas like statistics, math, computing, and quantitative modeling. Background or experience in finance, business analysis, or financial engineering is a plus, but not required as long as the candidate possesses a strong curiosity for and ability to quickly learn and assimilate new skills as needed.
Candidates must have an attitude of getting things done and delivering results while keeping long terms goals and objectives in mind. To supplement these sophisticated analytical capabilities, candidates need to have solid business acumen and executive-level communication. Qualifications To qualify, candidates must have the following:
A bachelor's degree and 2-5 years of related work experience; or a graduate degree and approximately 3 years of related work experience A degree in computer science, engineering, mathematics with a minor in economics, finance or a related field; MBA or MS degree preferred A minimum 2 years of relevant corporate work experience working on programming, data analytics, quantitative modeling banking experience is a plus but a candidate that can clearly articulate the transferability of out of industry skills will be considered Ability to work effectively in both a team environment and independently, both with internal and external (partner) resources Excellent communication skills, both verbal and written Programming skills in prototyping languages like python Statistical skills and experience with languages like R Ability to work with large databases and devising queries using SQL An understanding of the data used and the associated inherent issues in Commercial Banking, Retail Banking, or Asset Management would be a plus Strong knowledge of and experience in executing all phases of the technology life cycle, based on proven project management and testing methodologies. Options SDL2017
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