Quantitative Analyst Job Description Sample
Strategic Advisers (SAI) is a registered investment advisor and wholly owned subsidiary of FMR LLC that provides investment management services to clients through Fidelity's retail and institutional distribution channels. For more than 20 years, Strategic Advisers has specialized in the design, construction and management of asset allocation solutions, as well as the methodologies for many of Fidelity's investment planning tools, to help investors reach their financial goals. With over $300 billion in assets under management in a blend of Fidelity and third party investment vehicles, the Strategic Advisers team of investment professionals constructs and manages asset allocation portfolios for over one million customer accounts.
SAI's quantitative research team partners with the SAI investment teams to produce strong risk‐adjusted performance for the wide range of multi asset class investment solutions for Fidelity's managed accounts clients.
You will contribute to the investment team's success with thorough insights and investment recommendations that are based on quantitative analysis. Your primary objectives will include working with equity portfolio managers as well as growing our existing investment methodologies across multiple account types and tax registrations (taxable, tax deferred and tax-free) into our unified investment framework.
You should enjoy working within a team environment and will be expected to offer strong communication, programming, and analytical skills.
Given SAI's rapidly growing business, this role will evolve dynamically and requires an ambitious spirit. You will work at Fidelity's headquarters in Boston, Massachusetts and will report to a quantitative research team lead.
You will be a key player within the quantitative research group, assisting in domestic and international equity research and support of multi-account portfolio construction processes. You will back-test strategies and conduct after-tax and risk analyses to establish optimal investment approaches. You will aid the implementation of equity portfolios in these new strategies to ensure they successfully transition from the R&D team to the investment management teams who are responsible for ongoing management.
You should be able to work with portfolio managers and develop analytic studies to support and test their ideas relating to investment and portfolio construction, communicating the results in an investment-oriented and intuitive way.
Skills and Knowledge
2 years of experience in a quantitative equity or asset allocation research role
Deep understanding of portfolio optimization methods and risk models
Experience with quantitative portfolio tools such as Barra, Axioma, and Factset
Interest and experience in one or more areas such as factor research or manager selection
Excellent interpersonal skills
Experience with presenting results and communicating concepts to broad audiences
After-tax research experience a plus
Experience with R or Python preferred
Willing to code and eager to learn
- Boston, MA
Fidelity Investments is an equal opportunity employer.
At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit www.FidelityCareers.com.
As the Quantitative Analyst you will play a key role building advanced analytical capabilities across SCM areas like planning, procurement, operations, transportation and quality. Through data analysis, modeling, mining and visualization you will support tactical and strategic needs within Asurion's Global Supply Chain. Develop and foster key stakeholders relationships to help drive improvements throughout supply chain.
Develop and deliver analytical models to support planning, procurement, forecasting, inventory and logistics functions
Analyze multiple sources of structured and unstructured data; Gather, Scrub, classify and enhance data for statistical analysis & predictive models.
Proactively suggests and implements analytics driven improvements to optimize processes, decisions and efficiency goals
Analyze key product performance metrics and identify statistically significant factors, relationships, business drivers
Work with multiple stakeholders to identify key business issues to be solved and frame them into analytical problems and solutions
Tell a story with data and present data in a way that both technical and non-technical audiences can understand
Utilizes technical and industry knowledge to work on projects across multiple technology platforms.
What you will bring to the team:
2 years' experience working in quantitative/analytics function
Experience building and implementing statistical models using R, Python, SAS etc.
Strong knowledge of Excel, SQL, Data Mining Tools required
Ability to establish and maintain effective working relationships with the business community, vendors, customers, and coworkers.
Ability to prepare presentations, charts, and graphs pertinent to work assignments.
Ability to express ideas clearly, concisely in understandable form, both orally and in writing.
Accomplishes work through collaboration with others
Icing on the cake!
Relevant certifications like APICS, SCOR-P, CAP
Experience using data visualization tools such as Spotfire or Tableau
Telecomm, insurance, supply chain industry experience desirable
Knowledge of working with supply chain and Enterprise resource planning (ERP) systems
- Bachelor's degree in MIS, Business Analytics, Computer Science or Related Field
Quantitative Analyst (State Street Bank and Trust Company; Boston, Massachusetts): The Quantitative Analyst will provide quantitative support to State Street's efforts to manage credit risk in State Street's wholesale portfolios covering a range of asset classes and ensuring that the PD, LGD, valuation, and ALLL models comply with all applicable regulations. Responsibilities include: Managing large and complex credit data sets using statistical tools and database technologies; conducting econometric and statistical analysis of credit data; developing statistical models to quantify the value of the credit risk parameters; writing technical documentation; providing support for development and documentation of other credit parameter inputs used in State Street's AIRB system; presenting results of work to various groups of stakeholders including senior management; working with the information technology group to document business requirements and to ensure methodologies are accurately implemented in production systems; and completing ad hoc assignments in the general areas of credit risk management and measurement.
Minimum requirements are: Master's degree in Statistics, Mathematics, Quantitative Finance, or a related quantitative field; plus 2 years of model development experience in a large financial institution.
Alternatively, will accept: Ph.D. in Statistics, Mathematics, Quantitative Finance, or a related quantitative field.
Must have: Demonstrated understanding of multivariate statistics (including logistic regression, generalized linear models), Monte Carlo simulation, and distribution analysis; experience modeling credit risk and operational risk for financial institutions; knowledge of SAS, MATLAB, SQL, and R programming languages; strong written and verbal communication skills; experience with the methods used in the calculation of PD, LGD, property valuation, ALLL, and Stress testing and how these methods can be applied to large portfolios; and experience working with large and complex data sets.(Unless otherwise indicated, State Street is seeking the ability in the skills listed above with no specific amount of years of experience required. All experience can be gained concurrently.)
Apply online at statestreet.com/careers. State Street Job ID:
R-615156. An EOE.
Security Benefit (SB), a leader in the retirement saving and income solutions market, seeks a Quantitative Analyst to join our Investments team. This position is located in our Topeka, Kansas headquarters.
Security Benefit fosters strong partnerships to provide insightful and customized retirement solutions for employers and individual investors nationwide. Our annuities and retirement programs are distributed through a broad network of advisors and representatives. As an industry leader in service technology, our affiliates offer business processing and broker/dealer solutions tailored to the retail retirement marketplace.
Quantitative Analyst provides skills in support of fulfilling the duties and responsibilities of the Quantitative Modeling and Analytics team of the Investment department of Security Benefit Life. Candidates must have strong modeling, financial and analytical skills and be able to successfully work with other teams within the Investment department to successfully complete and discharge the Quantitative Modeling and Analytics team's objectives.
Duties and Responsibilities:
Build and maintain models for interest rate risk management and calculation of profit and loss
Streamline investment and reporting processes through automation
Develop, maintain and enhance proprietary financial models to analyze and assess existing and potentially new ABS investments.
Manage the warehousing of assets for CLOs and perform due diligence on structuring of secured notes
Interact with investment technology programs such as BondEdge
Work to improve investments operations by coordinating with the accountants and actuaries
Assist in performing daily data integrity and quality analysis, researching and updating complex security specific data information to ensure accurate data is maintained
Assist in investment reporting and ensuring data is consistently and accurately reported for internal and external constituents
Assist in various aspects of the trade operations process, including trade settlement support, monthly custodial reconciliation support, reporting support, trade entry support, trade confirm support or other operational activities as determined from time to time by line manager
Bachelor's degree with major in Finance, Economics, Statistics, Mathematics, Engineering, or related fields
MBA/MS in Finance/Financial Mathematics and CFA candidates preferred
Pursuit of CFA/FRM designation is highly recommended and preferred
Familiarity with the markets and an understanding of finance, economics, accounting, investment, and insurance principles and practices is preferred
Ability to program in analytic languages (Matlab, R, Python, C++, C #, VBA) and work with databases (MS Access, SQL) is preferred
Strong problem solving, analytical and decision-making skills
The ideal candidate will be highly detail-oriented, well-organized, independent, entrepreneurial, assertive, self-motivated, possess excellent interpersonal skills and be able to prioritize in a fast paced environment.
Strong quantitative, analytical, modeling, and written and oral communication skills
Proficient knowledge of software used for investment analysis, portfolio management, and reporting such as Microsoft Office (with an emphasis on Excel and Access), Bloomberg as well as other financial and statistical software packages
Experience with BondEdge, Intex or similar software is a plus
Knowledge of securitized products ( CLO, ABS, MBS) is desirable
Ability to maintain composure while working under pressure
Consider joining our progressive team in our nationally recognized company. Visit the career section of our website at securitybenefit.com/careers to complete the online application and submit your resume.
Apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. Interprets quantitative data and design statistical models for researching problems or questions. Analyzes data using statistical analysis software. Gathers, evaluates and relays both internal and economic data to predict different types of risks by making use of econometric and statistical methods. Conducts special studies to analyze complex financial actions and prepares recommendations for policy, procedure, control, or action. Analyzes financial information to determine present and future financial performance. Identifies trends and recommends improvements accordingly. Coordinates with all levels of management to gather, analyze, summarize, and prepare recommendations regarding financial plans, acquisition activity, new business planning and trended future requirements. Maintains databases and ensure that their data are reliable.
Essential Duties and Responsibilities
Develop predictive and forecasting models applied to Banking and Finance
Apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.
Gather, evaluate, and relay both internal and economic data to predict different types of risks by making use of econometric and statistical methods
Conduct special studies to analyze complex financial actions and prepares recommendations for policy, procedures, control, or action.
Analyze financial information to determine present and future financial performance. Identifies trends and recommends improvements according.
Aides in the preparation of studies, reports, and analyses such as budgets, forecasts, financial plan, regulatory requirements, statistical reports, cash flow projections, valuations, and business forecasts.
Assist in the development of the budget, planning, and other corporate financial requirements.
Maintains databases and ensures that the data is reliable.
Provides analytical support and documents models as per model validation requirements.
Excellent organization skills, able to establish priorities, manage multiple tasks simultaneously, work under pressure and meet deadlines.
Ability to analyze business results, to identify problems and propose solutions.
Excellent oral and written communication skills in both English and Spanish.
Bachelor's Degree in Computer Science or Mathematics
At least two years of related experience.
Collaboration & Teamwork
Quantitative Analyst (State Street Bank and Trust Company; New York, NY): The Quantitative Analyst will be part of State Street's Model Validation Group (MVG). MVG is part of the broader Model Risk Management function that is responsible for the identification, measurement, and mitigation of model risk across the global enterprise.
The Quantitative Analysts will be guided by Senior Quantitative Analysts who lead model reviews, focusing on models used to make business and operating decisions.
These models are in the following general areas: wholesale credit risk (e.g., probability of default, loss given default); market risk (e.g., daily value at risk pricing models and ALM risk); securities finance; asset management, and operational risk. Specific tasks performed during model reviews include but are not limited to: The Quantitative Analyst will be part of State Street's Model Validation Group (MVG). MVG is part of the broader Model Risk Management function that is responsible for the identification, measurement, and mitigation of model risk across the global enterprise.
The Quantitative Analysts will be guided by Senior Quantitative Analysts who lead model reviews, focusing on models used to make business and operating decisions.
These models are in the following general areas: wholesale credit risk (e.g., probability of default, loss given default); market risk (e.g., daily value at risk pricing models and ALM risk); securities finance; asset management, and operational risk. Specific tasks performed during model reviews include but are not limited to: assessing model theory and model assumptions as well as considering model methods and alternate options; testing and confirming model results by using documented procedures for running the models; reviewing code documentation for proper model implementation, including the possible simulation of results; working with data validation members and information technology professionals to assess model data integrity; performing model validation processes and performing independent model validation of significant models; assessing the stability and robustness of models by conducting backtesting, sensitivity testing, and stress testing; making recommendations and suggesting improvements related to the applicability of the different models assessed in meeting their objectives.
Minimum requirements are: Ph.D. in Finance, Economics, Mathematics, Statistics, or other quantitative discipline; and 5 years of relevant work experience in Financial Services Firm on a Model Validation Team or model development team. Alternatively, will accept Master's in Finance, Economics, Mathematics, Statistics, or other quantitative discipline; and 7 years of relevant work experience in Financial Services Firm on a Model Validation Team or model development team.
Must have: Demonstrative excellent quantitative modeling, analytical, research, and programming skills including SAS, Matlab, R, Stata, SQL, VBA, and/or C++; proven strong communication skills both verbal and written; demonstrated project management skills, with the ability to work independently on multiple tasks and/or projects; proven knowledge of financial markets and products; proven ability to execute on competing priorities on a timely manner; demonstrated knowledge of mathematical finance (such as stochastic calculus, PDE, Monte Carlo Simulation, etc.); proven experience in developing or validating credit risk models (PD, LGD and EAD), portfolio credit risk measurement (credit economic capital); proven familiarity with quantitative risk management methodologies including VaR and stress testing; and demonstrated sound understanding of standardized and advanced Basel III RWA calculation and CCAR. (Unless otherwise indicated, State Street is seeking the ability in the skills listed above with no specific amount of years of experience required. All experience can be gained concurrently.)
Apply online at statestreet.com/careers. State Street Job ID: R-614753 An EOE.
Intercontinental Exchange is looking for a motivated, detail-oriented Quantitative Analyst with strong programming skills to expand and support our growing projects. The Quantitative Analyst will join the Quantitative Research team that researches, implements, prototypes, and supports enterprise pricing and risk systems. The primary role for this position will be to deliver innovative enterprise financial solutions in a peer reviewed environment to analyze daily and real-time market information, generate robust pricing models, and deliver industry leading risk systems for exchange traded and over-the-counter markets.
Design and implement quantitative algorithms
Investigate and manage large data sets
Explain model behavior, carry out scenario analysis, and provide guidance and analytics
Work with a large code base across multiple languages
Knowledge and Experience
Master's Degree, or equivalent years of experience, in Computer Science, Mathematics, or related field required
3+ years of C++ experience
1+ years of Python experience
Experience with and strong understanding of Algorithms
Good knowledge of statistics, linear algebra, and real analysis
Good knowledge of SQL and databases
Strong working knowledge of OOD, Design Patterns, Testing frameworks
Committed to delivering quality and well-tested software
Disciplined and successful in delivering accurate and timely results
Experience with boost preferred
Experience with numerical algorithms preferred
Experience with financial derivatives preferred
Experience with R, Java, and C# preferred
Job Type: Standard
Delek US Holdings, Inc. is a diversified downstream energy company with assets in petroleum refining, logistics, renewable fuels and convenience store retailing. The refining assets consist of refineries operated in Tyler and Big Spring, Texas, El Dorado, Arkansas and Krotz Springs, Louisiana with a combined nameplate crude throughput capacity of 302,000 barrels per day.
The logistics operations primarily consist of Delek Logistics Partners, LP. Delek US Holdings, Inc.and its affiliates own approximately 63% (including the 2 percent general partner interest) of Delek Logistics Partners, LP. Delek Logistics Partners, LP (NYSE:DKL) is a growth-oriented master limited partnership focused on owning and operating midstream energy infrastructure assets.
The convenience store retail business is the largest 7-Eleven licensee in the United States and operates approximately 300 convenience stores in central and west Texas and New Mexico.
Quantitative Analysts, also known as the Financial Engineers, have the duty of analyzing oil market statistics for developing and implementing quantitative models. The models help in creating real-time trading tools for trading oil futures. Quantitative Analysts generally work with Delek's group of commercial traders for developing optimal systematic methods needed for analyzing oil market fundamentals the trading physical, futures, options and swaps. They engage in diverse activities around trading related activities like that of writing programs, researching, performing regular statistical analysis and solving problems which are needed to optimize the trading methods.
Applying mathematical and statistical methods in order to tackle with practical issues related to finance, like oil trading, oil derivatives valuation and trade recommendations.
Devising or applying independent tools and models in order to verify the outcome of analytical system.
Researching and developing analytical tools and identify certain market factors for forecasting market movements in the oil markets.
Collaborating with the trading groups in order to create and execute quantitative structured trade ideas in the markets Delek trades.
Conferring with the other financial analysts for understanding different trading market dynamics, strategies in order to inform about the development of the quantitative techniques.
Defining and recommending data collection modes or model specifications.
Developing core analytical abilities, using the advanced quantitative, statistical and econometric methods.
Back testing, Forecasting, Regression Analysis, Interpreting results of the analytical procedures, maintaining and modifying all the analytic models which are in use
Master's degree or PhD in math, statistics, engineering or a related field is extremely imperative and a higher degree is even more preferred since the companies prefer highly qualified professionals. A typical course load for a student pursuing a degree in Quantitative Analysis will include statistics, probability and so on.
Proficient Coding in language (at least two) R, Python, SQL, SAS, C++, Java, and MATLAB iGood verbal and written communication skills
Great analytical skills and presence of mind
Attention to diminutive details and multitasking abilities
Responsible and good technical skills
Highly innovative and motivated
Advanced knowledge of mathematical and statistics
Excellent programming skills a must
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, disability status, protected veteran status, or any other characteristic protected by law. Equal Opportunity Employer/Disabled/Veterans.
Where good people build rewarding careers.
Think that working in the insurance field can't be exciting, rewarding and challenging? Think again. You'll help us reinvent protection and retirement to improve customers' lives. We'll help you make an impact with our training and mentoring offerings. Here, you'll have the opportunity to expand and apply your skills in ways you never thought possible. And you'll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.
This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. Areas of primary focus will include asset allocation, factor investing and econometric modeling. The role will assist with asset allocation research, development of quantitatively oriented investment strategies and portfolio optimization.
Research and develop models for asset valuation and return forecasting
Assist senior quantitative analyst with development and back testing of quantitatively oriented investment strategies
Research, construct and track performance of alternative risk premia based portfolios
Maintain and enhance optimization models and assist with strategic and intermediate horizon asset allocation
3+ year experience with quantitative investment research or a PhD in Econometrics or Advanced Mathematics
2-3 years of experience in multi-asset investing preferred
Experience with machine learning techniques a plus
Desired credentials include experience in statistical analysis and modeling, especially modeling of time series data and back testing of investment strategies
Allstate will not sponsor individuals for employment based visa's for this opportunity
Solid understanding of financial markets, statistics and econometric analysis
Good understanding of factor investing, asset valuation and portfolio construction
Strong computer skills and programming experience in Python, R, Matlab, SQL, C++ experience a plus
Strong problem solving skills and the ability to meet tight deadlines
Strong oral and written communication skills
Post graduate degree in Econometrics, Quantitative Finance; PhD preferred; CFA a plus
Optoro is a fast-growing technology company that is revolutionizing the retail industry. Every year, more than 15% of retail goods are returned or simply never sell. This creates tons of unnecessary waste and costs retailers billions.
Our mission is to make retail more sustainable by eliminating all waste from returns. Our technology platform connects every returned item to its best home, thereby increasing profitability for retailers, giving consumers great deals, and reducing environmental waste.
Backed by some of the top investors in the country - including Kleiner Perkins, Revolution Growth, and UPS - Optoro is powered by its collaborative, unconventional, and resourceful employees who love solving big problems. We are looking for individuals with similar creativity and energy to help build a lasting company focused on the triple bottom line.
Reporting into the Director of Analytics, this role is responsible for using quantitative analysis to understand and monitor the performance of Smart Disposition, Optoro's flagship product. In partnership with Product Management, the Analyst will create automated methods to evaluate product performance and will also engage in exploratory analysis. This includes metric development and reporting: establishing key metrics, owning product reporting, and surfacing key trends. Equally important is data analysis: conducting unit-level forensic analysis, prioritizing features for investment, and supporting ad hoc analysis of SmartDisposition stakeholders.
Duties and Responsibilities
Metric Development and Reporting
Partner with Product Managers to develop product metrics
Design, build and maintain product performance dashboards
Monitor product performance and new feature impact
Develop baseline product performance and serve as SME for go-forward product performance
Exploratory Data Analysis
Manipulate complex, high-volume data from varying sources to provide insights into enhancing Optoro's SmartDisposition algorithm
Conduct unit-level forensics and tracking for anomalous unit dispositions
Surface themes and insights from forensics explorations to inform product management decisions
Provide substantial input into feature prioritization and data science model evolution based on expected impact of changes and 'what if' analysis
Collaborate with technical/data engineering, business/client, and operations stakeholders to collect and validate data needed to conduct analyses
Bachelor's degree, preferred Applied Math, Engineering, Physics, Statistics, Economics
Minimum of 1-3 years of professional experience in a technical, or analytical function
Experience with data visualization tools (Excel, Tableau, Looker) required; experience with R and/or Python preferred
Experience writing SQL
Technical competence to perform advanced analytics with large datasets
Proven analytical abilities required
Ability to prioritize workloads and adapt to changing priorities
Experience in a related industry such as retail, supply chain or technology preferred
Excellent attention to detail with exceptional follow-up
Strong communication and presentation skills
Ability to thrive in a fast-paced environment
High-achiever, self-starter and team player
Optoro is an equal opportunity employer.
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