Job Description: Position Description: Note: Fidelity will not provide immigration sponsorship for this position. Oversees production data management, model integrity, and end-to-end technical support for portfolio manag…
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$165k–$194k/yr
Full-time
bachelor degree, postgraduate degree
Posted 21d ago
Apply by Aug 25
~40 hrs/week
Responsibilities
Oversees production data management, model integrity, and technical support for portfolio management and risk models. Leads the development of quantitative research platforms and data quality frameworks to enhance investment decision-making.
Requirements
Requires a Bachelor's or Master's degree in a technical field with 4-6 years of experience in multi-asset class analytics within financial services. Must have demonstrated expertise in risk factor models, data validation tools, and various programming languages including Python and SQL.
Full job description
Job Description:
Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Oversees production data management, model integrity, and end-to-end technical support for portfolio management, risk models, and quantitative research platforms, by building quantitative research platforms and tools. Ensures complete data quality coverage, Service Level Agreement (SLA) documentation, and proper team communication. Drives the buildout of new data quality frameworks and tools to streamline teamwork in support of Data Quality (DQ) coverage at scale. Draws on in-depth knowledge of advanced principles, theories, and concepts to create high quality quantitative research solutions for complex projects, applications, and products. Consults with development architects and business on internal service quality control standards, policies, and procedures.
Primary Responsibilities:
Develops new processes, performs calculations, identifies anomalies, and produces new reporting capabilities by analyzing large data sets.
Evaluates the value of new content and methods through proofs-of-concept.
Extends data platforms using existing data models and quantitative research processes.
Translates analytics into model construction, factor definition, and calculation.
Develops and incorporates non-traditional and unstructured data and data science applications to enhance research and investment process.
Performs validations and testing of models to ensure adequacy and reformulate models as necessary.
Presents mathematical modeling and data analysis results to management and other end users.
Formulates and applies mathematical modeling and other optimizing methods to develop and interpret information that assists with decision making.
Collects and analyzes data and develops decision support software, service, or products.
Develops and supplies optimal time, cost, or logistics networks for program evaluation, review, or implementation.
Advises senior management on technical strategy.
Participates in high-level, cross-functional design teams.
Sets vision, goals, and direction of team/organization.
Plans and leads organization-wide initiatives.
Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
Researches and recommends new technologies.
Regularly provides guidance, training, and coaching to other team members for performance and career development.
Identifies and plans for future resource needs.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Portfolio Analytics (or closely related occupation) performing multi-asset class analytics in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Portfolio Analytics (or closely related occupation) performing multi-asset class analytics in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) performing product management and impact analysis on trading and risk analytics in a complex multi-asset class environment (open and closed architecture fund-of-funds structures); debugging differences between economic and accounting views of holdings and assessing their influence on portfolio construction; monitoring and measuring risk for mutual funds; and writing specification documents, interpreting business requirements, and creating analytical visualization solutions, using Microsoft Office suite, Visual Basic (VBA), Tableau and Oracle SQL.
DE defining and maintaining operational workflows; creating data quality assurance tools for validating holdings from various vendors (Morningstar, Bloomberg, Index providers and accounting views) and instrument data across multi-asset classes (Equity, Corporate Bonds, Municipal Bonds, Commodities, Derivatives, and Alternative strategies), using Oracle SQL, Snowflake, Python, Microsoft Excel, and Visual Basic (VBA); and cleaning, validating, cross-checking, tracking, and documenting changes, anomalies, and inconsistencies in raw data for investment risk analysis.
DE analyzing BarraOne Multi-Asset Class (MAC) risk factor model construction, factor definitions, and calculations; translating equity, fixed income, alternatives risk and stress analytics into meaningful insights used for portfolio maintenance; integrating BarraOne risk models into existing infrastructure, and expanding and enhancing analytic platforms and tools, using Microsoft Excel, Snowflake, Tableau, Oracle SQL, Python, and R; and performing investment risk analysis (portfolio performance and risk reporting), using BarraOne Multi-Factor Model (MAC) risk and performance attribution.
DE measuring incremental effects of portfolio construction methodologies; performing fund holdings and returns analysis, using statistical methods and analytical tools – Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA); writing risk model methodologies and specification documents, interpreting business requirements, and creating model performance monitoring reports in Confluence and Microsoft Office Suite; integrating portfolio management workflows into vendor tools (Factset and MSCI BarraOne), using Microsoft Office Suite, Tableau, Oracle SQL, Snowflake, Python, and R; and researching and testing methods to improve existing models, using regression techniques, time series analysis, and interest rate models and Monte Carlo simulations.
Salary: $165,000.00 to $194,000.00/Year.
#PE1M2
#LI-DNI
Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Related keywords
Portfolio AnalyticsRisk ModelsQuantitative ResearchData QualitySLAOracle SQLSnowflakePythonRTableauVBABarraOneMulti-Asset ClassANOVAANCOVAMonte Carlo Simulations
Here to help you grow your savings and invest in the life you want.
Industry
Financial Services
Company size
10,001+ employees
Founded
1946
Headquarters
Boston, MA
LinkedIn followers
1,398,387
Total funding
$2.0B
Fidelity’s mission is to strengthen the financial well-being of our customers and deliver better outcomes for the clients and businesses we serve. Fidelity’s strength comes from the scale of our diversified, market-leading financial services businesses that serve individuals, families, employers, wealth management firms, and institutions. With assets under administration of $15.0 trillion, including discretionary assets of $5.9 trillion as of March 31, 2025, we focus on meeting the unique needs of a broad and growing customer base. Privately held for 78 years, Fidelity employs more than 77,000 associates across the United States, Ireland, and India.
For our Terms and Conditions, please visit http://go.fidelity.com/LIterms
How much do Science & Research jobs in Massachusetts pay?
Based on 4280 listings with disclosed salaries, most science & research jobs in Massachusetts pay between $90k–$237k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in Massachusetts right now?
There are currently 6,922 open science & research positions in Massachusetts listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Massachusetts?
Companies currently hiring include Mass General Brigham, Harvard Division of Medical Sciences, Takeda, Sanofi, Thermo Fisher Scientific, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Massachusetts?
Yes — 2166 of the 6922 open science & research positions offer remote or hybrid work (476 remote, 1690 hybrid).
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Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.