AM Quantitative Analyst I
$135,000–$175,000 year
On-siteBoston, Massachusetts, United States
EXPIREDBoston, Massachusetts, United StatesOn-siteFull Time$135,000–$175,000 yearMasters DegreeEnterprise
Full TimeMasters DegreeEnterprise
Job Summary
Conduct research studies and develop quantitative techniques, models, and tools to support and enhance the investment process. Define and communicate financial facts using econometric modeling tools to offer clear investment recommendations. Process large data sets and analyze their impact on investment decisions, building robust quantitative tools for portfolio construction and developing innovative systematic strategies. Monitor, measure, and attribute portfolio risks and returns while preparing plans of action based on financial analyses. Interpret data on price, yield, stability, and future investment-risk trends to forecast business, industry, or economic conditions. Collaborate with investment and technology professionals to explain complex quantitative concepts and present the team's investment process. This role requires a Bachelor's or Master's degree in a quantitative field and three years of experience, with a salary range of $135,000 to $175,000. The position is based onsite at Fidelity, transitioning to a full-time onsite working model.
Required Qualifications
- Bachelor's degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent)
- Three (3) years of experience as an AM Quantitative Analyst I (or closely related field) investigating large structured and novel data sources to generate alpha, using Python, R, MATLAB and SQL in a Linux environment
- Master's degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent)
- Demonstrated Expertise designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using advanced mathematical, statistical, and machine learning techniques -- multivariate regression, clustering analysis (Connectivity based - hierarchical clustering and Centroid based - K-means algorithm), Bayesian statistics, Time-Series analysis, and non-linear tree-based models
- Demonstrated Expertise streamlining data preparation pipeline using relational databases (Oracle and Snowflake) and performing manipulation via SQL, large-scale dataset processing, web scraping, Natural Language Processing (NLP), and parallel computing; and conducting signal research for stock return prediction, using multivariate regression, Structural Vector Autoregressions (SVARs), identification of principal time-series shocks, Graph-based ranking algorithm, and statistical Machine Learni...
- Demonstrated Expertise implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB, Object-Oriented Programming (OOP), and GitHub; and designing robust development pipeline, using version control, automated testing, and Continuous Integration and Continuous Delivery (CI/CD)
- Demonstrated Expertise performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and developing in-depth portfolio analysis framework using Brinson attribution, regression-based return decomposition, Marginal Risk Contribution, regime analysis, and sensitivity analysis
- Valid driver's license
Desired Qualifications
- Experience with Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA)
- Experience with relational databases
- Experience with web scraping
- Experience with Natural Language Processing (NLP)
- Experience with parallel computing
- Experience with Structural Vector Autoregressions (SVARs)
- Experience with Graph-based ranking algorithm
- Experience with statistical Machine Learning (Machine Learning)
- Experience with Object-Oriented Programming (OOP)
- Experience with GitHub
- Experience with version control
- Experience with automated testing
- Experience with Continuous Integration and Continuous Delivery (CI/CD)
- Experience with Gurobi
- Experience with Axioma
- Experience with Brinson attribution
- Experience with regression-based return decomposition
- Experience with Marginal Risk Contribution
- Experience with regime analysis
- Experience with sensitivity analysis
- Experience with modern portfolio theory
- Experience with mathematical optimization
- Experience with numerical analysis
- Experience with transaction cost optimization
- Experience with multivariate regression
- Experience with clustering analysis
- Experience with Bayesian statistics
- Experience with Time-Series analysis
- Experience with non-linear tree-based models
- Experience with Oracle
- Experience with Snowflake
- Experience with R
- Experience with Python
- Experience with MATLAB
- Experience with SQL
- Experience with Visual Basic for Applications (VBA)
- Experience with large-scale dataset processing
- Experience with signal research for stock return prediction
- Experience with identification of principal time-series shocks
- Experience with portfolio construction research
- Experience with portfolio analytics platforms
- Experience with development pipeline
- Experience with quantitative strategies
- Experience with portfolio construction
- Experience with quantitative finance
- Experience with econometric modeling tools
- Experience with systematic strategies
- Experience with global tactical asset allocation
- Experience with financial information analysis
- Experience with forecasting business, industry, or economic conditions
- Experience with monitoring, measuring, and attributing portfolio risks and returns
- Experience with preparing plans of action for investment, using financial analyses
- Experience with interpreting data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs
- Experience with building models on the detection and forecast of market environments
- Experience with providing insights into as-set diversification and portfolio construction in distinct regimes
- Experience with assisting with the design and launch of new investment solutions
- Experience with meeting with consultants and clients to present the team's investment process and quantitative frameworks
- Experience with collaborating closely with investment and technology professionals within the division
- Experience with explaining complex quantitative concepts to non-technical personnel
- Experience with conducting research studies
- Experience with developing quantitative techniques, models and tools to support and enhance the investment process
- Experience with defining and communicating financial facts and filters relevance using econometric modeling tools
- Experience with enhancing the use of quantitative finance within company's investment process
- Experience with offering clear, concise and persuasive investment recommendations
- Experience with processing large data sets and analyzing the impact to investment decisions, using Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA)
- Experience with building robust quantitative tools to aid all aspects of portfolio construction, using R, MATLAB and relational databases
- Experience with developing and evaluating innovative systematic strategies
- Experience with improving frameworks for global tactical asset allocation
- Experience with informing investment decisions by analyzing financial information to forecast business, industry, or economic conditions
- Experience with monitoring, measuring, and attributing portfolio risks and returns
- Experience with preparing plans of action for investment, using financial analyses
- Experience with interpreting data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs
- Experience with building models on the detection and forecast of market environments, providing insights into as-set diversification and portfolio construction in distinct regimes
- Experience with assisting with the design and launch of new investment solutions
- Experience with meeting with consultants and clients to present the team's investment process and quantitative frameworks
- Experience with collaborating closely with investment and technology professionals within the division
- Experience with explaining complex quantitative concepts to non-technical personnel
- Experience with designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using advanced mathematical, statistical, and machine learning techniques -- multivariate regression, clustering analysis (Connectivity based - hierarchical clustering and Centroid based - K-means algorithm), Bayesian statistics, Time-Series analysis, and non-linear tree-based models
- Experience with streamlining data preparation pipeline using relational databases (Oracle and Snowflake) and performing manipulation via SQL, large-scale dataset processing, web scraping, Natural Language Processing (NLP), and parallel computing; and conducting signal research for stock return prediction, using multivariate regression, Structural Vector Autoregressions (SVARs), identification of principal time-series shocks, Graph-based ranking algorithm, and statistical Machine Learning (Mac...
- Experience with implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB, Object-Oriented Programming (OOP), and GitHub; and designing robust development pipeline, using version control, automated testing, and Continuous Integration and Continuous Delivery (CI/CD)
- Experience with performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and developing in-depth portfolio analysis framework using Brinson attribution, regression-based return decomposition, Marginal Risk Contribution, regime analysis, and sensitivity analysis
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.