Quantitative Analyst Job Description Sample
About us: The Boston Company, Standish and Mellon Capital
A specialist multi-asset investment management firm dedicated to serving sophisticated investors globally, providing clients with high-quality single and multi-asset investment solutions using both active and passive strategies. Coming together in 2018 through the combination of Mellon Capital, Standish, and The Boston Company, the combined asset manager has the scale and investment capabilities to offer institutional and intermediary clients a broad range of specialist investment solutions. The Boston Company, Standish and Mellon Capital are product brands of BNY Mellon Asset Management North America.
Develop active quantitative strategies including sector rotation, volatility modeling, scenario forecasting, risk estimation and portfolio construction. Propose and research strategies across the spectrum.
Manage and update all internal models for periodic review by a broad group of investment professionals. Coordinate with existing investment staff and participate in investment processes to facilitate product development. Present research to internal and external client as appropriate.
Qualifications A minimum of 5 years work experience with a least 2 years in investment management with a role that straddles finance and quantitative analysis. MBA or similar advanced degree with a specialization in econometrics or quantitative finance from a top business school is required.
CFA or PhD holder preferred. Must be proficient with advanced quantitative techniques in the areas of multivariate regression, risk metrics, portfolio optimization and the accompanying software tools and methods. Excellent oral and written communication skills required.
For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets.
BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets.
It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.
As one of the world's leading investment management organizations and one of the top U.S. wealth managers, BNY Mellon Investment Management combines agility, insight and scale to create and deliver strategies and solutions to address our clients' needs. Encompassing BNY Mellon's investment management firms, wealth management organization and global distribution teams, we draw on deep expertise to collaborate with clients and tailor our best ideas and resources to meet their specific needs.
We pride ourselves on providing dedicated service through our network of global professionals who have a deep understanding of local requirements. With our extensive experience in anticipating and responding to the investment and financial needs of the world's governments, pension plan sponsors, corporations, foundations, endowments, advisors, intermediaries, individuals and families, and family offices, BNY Mellon Investment Management is dedicated to helping clients reach their goals.
BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer.
Minorities/Females/Individuals With Disabilities/Protected Veterans.
Primary Location: United States-California-San Francisco
Internal Jobcode: 28160
Job: Asset Management
Organization: NA Investment Boutiques-HR13428
Requisition Number: 1805598
Strategic Advisers, Inc. (SAI) isa registered investment advisor and wholly owned subsidiary of FMR LLC thatprovides investment management services to clients through Fidelity's retail andinstitutional distribution channels. For more than 20 years SAI has specializedin the design, construction and management of asset allocation solutions, aswell as the methodologies for many of Fidelity's investment planning tools, tohelp investors reach their financial goals. With over $200 billion in assetsunder management in a blend of Fidelity and third party investment vehicles,the SAI team of investment professionals constructs and manages assetallocation portfolios for over 1 million customer accounts.
SAI'sQuantitative Research group partners with the SAI investment teams to deliversuperior risk‐adjusted performance for the wide range of investment solutionsdelivered by SAI.
The candidate conducts quantitative research as a partner ofhis/her respective investment team. The quantitative analyst has a track recordof proactively suggesting enhancements to the investment team's investment andrisk management processes. He/She contributes to the investment team's successthrough thorough analysis and investment and risk management recommendationsthat are based on quantitative analysis.
Main objectives of the quantitative analyst include enhancingrelevant investment management processes and portfolio construction techniquesfor defensive asset/factor allocation strategies.
The Candidate offers superb communication skills and strongprogramming and analytical skills and can translate portfolio managementrequirements into quantitative projects and present the results in aninvestment relevant and intuitive way. Given the rapidly growing business, theposition will evolve dynamically and requires an entrepreneurial spirit.
Work within the defensive asset allocation investment team todeliver superior risk-adjusted performance. A significant focus of the workwill be on portfolio construction. Examples of initiatives may include:
Collaboratewith the broader research and investment groups. Be able to communicate andrationalize clearly specific recommendations for asset and factor allocation
Utilize quantitative techniques to evaluateactive asset and factor allocation and rebalancing strategies that may enhancethe risk and return profile of the portfolios under different market andeconomic environments
Backtest strategies and recommend best in class solutions in partnership with multi-asset class portfolio managers for retail and institutional products
Present and communicate innovative research ideas
The Analyst will work at the company's headquarters in Boston,Massachusetts and will report to the quantitative research Team Lead.
3-5 years related experience in quantitativeinvestment and factor research
MBA/MS in relevant field (Finance, Engineering,Mathematics, etc.)
Experience in managed volatility strategies aplus (risk target, risk parity, low volatility or similar strategies)
Experience in capital markets
Very strong communication and presentationskills, in particular in regards to translating complex quantitative analysisinto relevant and applicable investment solutions
Knowledge of factor allocation across assetclasses, portfolio construction, and riskmanagement
Solid programming and database skills, R,Matlab, SQL
Experienced in the use of financial tools like
Bloomberg, FactSet, or other portfolio analysis and asset allocation tools
- Intellectual curiosity and a passion forinvesting
The following values are considered to be fundamental to the wayin which our company operates:
At Fidelity, we are focused on making our financial expertisebroadly accessible and effective in helping people live the lives they want—from the 23 million people investing their life savings, to the 20,000businesses managing their employee benefits programs, to the 10,000 advisorsand institutions needing innovative technology solutions to invest theirclients' money. To do this well, as a privately held company, we place a highdegree of value in nurturing a work environment that attracts the best talentand reflects our commitment to being an employer of choice. For moreinformation about Fidelity Investments, visit www.fidelity.com.
Quantitative Analyst (State Street Bank and Trust Company; Boston, Massachusetts): The Quantitative Analyst is responsible for measuring State Street's regulatory and economic capital requirements to ensure compliance with Basel-related banking regulations. The Quantitative Analyst is required to apply solid knowledge of Basel II/III regulations, DFAST and CCAR processes, and AMA operational risk modeling, specifically the Loss Distribution Approach (LDA), and scenario analysis.
In particular, the Quantitative Analyst will build risk models covering credit risk, operational risk and business risk. Specific duties of the position include: developing quantitative models to quantify risk with frequent application of multivariate statistics and simulation methodologies; performing back-testing, sensitivity testing, and stress testing of models, and managing large and/or complex data sets using statistical tools and database technologies; critically reviewing external studies and adopting methodologies in those studies to appropriately quantify State Street's risk; collaborating with staff in the business areas to gain an understanding of business issues and to reflect that understanding in the risk models and methods; writing technical documentation, and presenting results of work to senior management and regulators; 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, operational risk, and business risk.
Minimum requirements are: Master's degree in Statistics, Mathematics, Finance, Management Science and Engineering, Financial Engineering, or a related field, or its equivalent, and 3 years of relevant work experience. #LI-DNI
Must have: proven solid ability working with large and complex data sets including relational databases and complex queries; demonstrated proficiency with Matlab and working knowledge of Excel VBA, R, and SAS; demonstrated comprehensive understanding of multivariate statistics and simulation methodologies, and the proven ability to apply this understanding to develop quantitative models to quantify risk; demonstrated strong written and verbal communication skills, and an ability to present material to various audiences including upper management and regulators; and proven ability to take initiative, adapt and learn quickly, and be a self-starter. (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.) #LI-DNI
Apply online at statestreet.com/careers. State Street Job ID: [R-581939]. An EOE.
Quantitative Analyst (State Street Bank and Trust Company; New York, New York): The Enterprise Risk Management (ERM) division is responsible for providing risk management and measurement services for all business areas in State Street. The Risk Analytics Group focuses on building quantitative models to measure State Street's risk in different areas.
Many of these models use value-at-risk (VaR) and/or stress testing as methodologies for losses under adverse circumstances. The Risk Analytics Group is directly involved in helping State Street measure its regulatory and economic capital requirements in order to comply with Basel-related banking regulations. The Quantitative Analyst will work within the Risk Analytics Group to build risk models covering the following major areas: wholesale credit risk, including probability of default, loss given default, exposure measurement, and economic capital; market risk economic capital; operational risk regulatory and economic capital; stable value wrap exposures economic and regulatory capital; and business risk economic capital.
Additionally, the Quantitative Analyst will perform ad hoc assignments in other risk-related measurement projects, including the development of hedge ratio models and supporting the Comprehensive Capital Assessment Review (CCAR) mandate. Specific duties include: developing quantitative models to quantify risk or price assets, with frequent application of multivariate statistics and simulation methodologies; managing large and/or complex data sets using statistical tools and database technologies; critically reviewing external studies and adopting methodologies to quantify risk; ensuring methods to estimate the value of the credit parameters or operational risk components meet applicable U.S. and international regulatory requirements; performing backtesting, sensitivity testing, and stress testing models; working with staff in the business areas to gain an understanding of business issues and to reflect that understanding in the risk models and methods; conducting independent validations of models created by ERM staff or staff in other business areas; writing technical documentation; presenting results of work to senior management and regulators; working with the Information Technology group to document business requirements and to ensure methodologies are accurately implemented in production systems; completing ad hoc assignments in the general areas of credit risk, market risk, and operation risk; and managing team projects as needed.
Minimum requirements: Master's degree in Finance, Economics, Statistics, Mathematics, Computational Finance, Computer Science, or a related field, and 2 years of relevant analytical experience.
Must have: demonstrated in-depth understanding of multivariate statistics; proven solid knowledge of at least one statistical modeling language such as R, SAS, Matlab or S+; demonstrated experience working with large and complex data sets and a database language like SQL; proven experience in estimation of credit risk parameters (PD, LGD and EAD), portfolio credit risk measurement (credit economic capital), or modeling operational risk; proven familiarity with quantitative risk management methodologies including VaR and stress testing; demonstrated sound understanding of standardized and advanced Basel III RWA calculation and CCAR; demonstrated strong communications skills (both written and oral), including an ability to interact effectively across all levels of management within an organization; demonstrated ability to communicate clearly with teams with no or limited technical background; demonstrated ability to translate complex data sets into simplistic visualizations; and proven self-motivated individual who enjoys undertaking challenges and can assimilate information quickly and outline action plans and recommendations. (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.) #LI-DNI
Apply online at statestreet.com/careers. State Street Job ID:
R-585080. An EOE.
IHS Markit (NASDAQ: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide.
The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world's leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Research Signals group provides independent research and investment consulting services to the institutional asset management community. The group designs and develops individual factors and multi-factor models across a range of asset classes by applying a systematic evaluation process to a variety of fundamental, technical, and industry-specific data sources.
As a Quantitative Analyst with IHS Markit, you will be responsible for conducting research in all areas surrounding the investment management process including alpha generation, risk management, portfolio construction and trade execution, as well as documenting results in reports and reading, assessing and authoring write-ups of analyst papers. The successful candidate will effectively complete research assignments and consulting projects as assigned, and communicate results internally and externally. The analyst is also responsible for coordinating the nightly production process between research and IT teams.
To be considered for this opportunity, candidates should demonstrate the following education, skills and experience:
Advanced degree in Finance, Mathematics, Statistics or related quantitative discipline, MBA and/or enrolled in CFA program preferred
1-2 years industry work or relevant internship experience in a quantitative environment, including knowledge of equity investment strategies, backtesting and optimization
Strong programming aptitude, with experience in Matlab, Python, or R preferred
Prior experience with SQL or other database knowledge is preferred
Experience with machine learning a plus
Interested candidates please e-mail a resume to: Natalya.Roos@ihsmarkit.com
We are proud to be an EEO/AA employer M/F/Disability/Veterans.
We maintain a drug-free workplace and perform pre-employment drug testing.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities.
We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law
EEO is the Law Supplement
Right to Work
Pay Transparency Policy
Current ColleaguesIf you are currently a colleague with IHS Markit please apply internally via Workday.
Specific information related to the position is outlined below. To apply, click on the button above. You will be required to create an account (or sign in with an existing account). Your account will provide you access to your application information.
Should you have a disability and need assistance with the application process, please request a reasonable accommodation by emailing BB&T Accessibility or by calling 866-362-6451. This email inbox is monitored for reasonable accommodation requests only. Any other correspondence will not receive a response.
Regular or Temporary:
Language Fluency: English (Required)
1st shift (United States of America)
Please review the following job description:
Develop, document and support deployment of quantitative models and other analytical tools. This position may also work in model validation to review these tools after they have been developed and deployed. Projects may include, but not be limited to, risk tool/model development, assessment and monitoring relative to risk grading, delinquency, prepayment, and default estimation, customer attrition, credit line management, stress testing/loss forecasting, pricing, loss severity, loss reserving, portfolio management, interest rate derivatives hedging and mortgage servicing.
Essential Duties and Responsibilities:
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1.Facilitate user (e.g. line of business (LOB)) and management understanding and acceptance of proposed models by preparing high quality documentation, including presentations, explaining the model and its validity for its intended use. Provide support during verbal presentations to stakeholders and oversight groups.
2.For deployed models, develop and execute ongoing model verification, performance reporting, and assist with change management processes and procedures, including but not limited to, back testing, including outcomes analysis.
3.Ensure that models comply with BB&T requirements for model development, documentation, ongoing verification, change management and other policy requirements; address model validation recommendations and remediate issues.
4.Perform other analytical activities, as requested by managers.
5.Continuously broaden and deepen expertise in analytical methods via self-directed research and training.
6.For Model Risk Management roles, ensure models subject to validation have received effective challenge, document the strengths, weaknesses and limitations of models, write model validation issues and observations in the course of model validation and promote sound model governance throughout the Corporation.
Required Skills and Competencies:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1.Master's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, or other applied quantitative science, or equivalent education and related training
2.Strong work ethic and desire to enhance knowledge base and technical skills
3.Ability to work independently and to seek and use guidance appropriately
4.Ability to handle ambiguity and adapt to shifting objectives
5.Strong written and verbal communication skills
6.Strong problem solving skills
7.Proficiency in a computer programming language, including code development, and exposure to SAS or other statistical software
8.Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
9.Ability to travel, occasionally overnight
2.Two years of experience in a related field
3.Three years of SAS experience with demonstrated application to large data problems of Data Step, SQL, SAS Macros, and relevant statistical procedures
BB&T is an Equal Opportunity Employer and considers all qualified applicants regardless of race, gender, color, religion, national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law.
EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi's Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all.
Job Purpose/Key Responsibilities:
We are looking for a Quantitative Analyst to join the Global Commodities Quant Team, within the Markets Quantitative Analysis (MQA) department, to support the NAM Power and Gas business in Houston.
Markets Quantitative Analysis (MQA) is part of the Global Markets business and has responsibility for providing the analytical models which are used for pricing securities and risk managing the Firm's positions throughout the Markets' businesses. The scope of this work extends from the research into the mathematical derivation of the model, through the coding, testing, and documentation of the model for formal validation signoff, and finally to delivering the model both to the desktop and to Technology for incorporation into the Firm's books and records systems.
The Commodities Quantitative Analysis team is a global team of quants located on three trading floors worldwide: in London, Houston and Singapore. The team's mandate is to provide quantitative support for the trading, structuring and origination teams in Global Commodities Markets. The main focus of the group includes: pricing methodologies, hedging strategies, risk management and analytics development. The quantitative analysts work closely with trading, structuring, IT, risk management, finance and other control functions to develop a better understanding of Risk and P&L and add value to the business.
Key Responsibilities Include:
Development of pricing, calibration and hedging methodologies for structured commodities transactions
Implementation of pricing and risk models in the Front-Office Analytics library
Development of quantitative investment strategies for the commodities business
Building desk tools for P&L, hedging analysis, stress-testing in Excel/VBA/Python
Development and maintenance of the in-house C analytics library
Work on general efficiency improvements and optimization of the library, including: performance, memory management, GPUs, multi-threading …
Working on day-to-day support processes for the business
Working on the various Regulatory projects impacting the business, including: Model Risk, CCAR, PAA …
Knowledge / Experience:
Experience in numerical analysis, Monte-Carlo methods, probability, stochastic calculus, machine learning
Deep knowledge of Commodities markets
Knowledge of Fixed income modeling
Fluency in mathematical finance and statistical analysis
Experience in programming using C , Python, VBA, Kdb
- PhD or MSc in Mathematics, Physics, Engineering, Finance or Economics
Good verbal and written communication skills
Ability to work in a team and to work well under pressure in a Front-Office environment
US Bank Home Mortgage is seeking a quantitative research analyst to contribute toward mortgage statistical modeling activities. The analyst will support and/or lead initiatives primarily related to empirical model development, monitoring, maintenance, documentation, and governance. Specific areas of focus may include, but are not limited to the modeling of: mortgage prepayments, mortgage rates, mortgage delinquencies and foreclosures, mortgage production and margins, as well as term structure and stochastic valuation modeling.
Participates in the identification, design, development and implementation of assigned projects. Assigned projects may be general or systems related in nature. Interfaces with internal and external resources to ensure successful and timely cooperation in accordance with user needs. Participates in training users and evaluating the project. Manages performance of the project team and evaluates overall team performance.
Work is performed independently following training. Responsibilities and opportunities within the department grow with demonstrated success
Master's degree, or equivalent work experience
10 or more years of experience in project management and leadership activities
Five or more years of managerial experience
Advanced degree in Statistics, Economics, Finance, Math or Accounting
Proficiency in Microsoft Excel, Word and Access
Proficiency in at least one of the following: SAS, Matlab, EViews, R, SQL, C
Knowledge of time series analysis
Developed skills in the following:
a) summarizing and documenting major findings;
b) disciplined approach to research and new tasks; and
c) time management skills
Ability to demonstrate experience with model development and/or model validation activities
Comprehensive knowledge of assigned business line or functional area
Demonstrated management and leadership skills
Strong project management, organizational and analytical skills
Ability to identify and resolve exceptions and to analyze data
Excellent verbal and written communication skills
Proficiency in programming, statistical analysis and modeling software
Under general supervision, performs quantitative analyses, such as Monte Carlo-based simulations and asset liability modeling studies, model development to support research, security analysis, portfolio management and/or asset allocation decision making.
Performs quantitative analysis, which may include asset liability modeling studies, optimized asset allocation studies and/or other quantitative applications, using models, screening tools and portfolio management systems. Monitors and reviews existing portfolio positions producing reports. Conducts on-going communication with portfolio managers and security analysts during the course of the review.
Performs qualitative and quantitative assessments of all aspects of models, tools and systems, understanding their theoretical aspects, design and implementation. Performs data quality and integrity reviews. May perform limited computer programming coding in order to create asset allocation solutions, perform Monte Carlo simulations and/or other quantitative applications.
Uses quantitative tools and techniques to measure and analyze portfolio positions and risks. Provides portfolio or security structure insight to portfolio managers and other quantitative team members. Measures security and portfolio performance and resulting performance attribution.
Performs periodic model and tool testing. Prepares and analyzes detailed documents for validation and regulatory compliance. Supports other members of the portfolio management and security analysts teams in a research capacity.
Performs activities associated with the research, design and development of global strategy indices across multi-asset classes, with a focus on index and strategy benchmark design.
Performs a combination of the following duties according to departmental guidelines:
Research, create and support the index development initiatives for Cboe's Global Index Group with a focus on equities, options, fixed income and digital assets.
Provides support in index development initiatives, daily maintenance and index support for Cboe's Index Group. Responsibilities will focus on the support and enhancements for index maintenance.
Design, calculate, document and develop solutions to improve process flows for index support in test and production environments.
Identify, implement and deploy opportunities to improve the overall quality of our index products and processes.
Support and prepare written procedure and index methodology guides.
Support, prepare and publish written research reports on new index related investment strategies and existing Cboe benchmarks.
Work collaboratively with other Cboe departments on new index and benchmark launches, as well as post-launch support.
Work with clients of Cboe's Global Index Group to design and implement new indexes and strategy benchmarks.
Making better hires starts with building better job descriptions
- Browse 100s of templates across 40+ industries
- Customize your template with your company info & job requirements
- Post it to 20+ job boards in seconds – for FREE!