Accomplished Senior Quantitative Equity Researcher at Jacobs Levy Equity Management, adept in Python and strategic thinking. Spearheaded the development of flagship return-prediction models, driving top-quartile performance across $25 billion in AUM. Renowned for translating complex research into actionable insights, enhancing client engagement and retention through impactful presentations.
Overview
30
30
years of professional experience
4
4
Certifications
Work History
Senior Quantitative Equity Researcher
Jacobs Levy Equity Management
Florham Park, USA
01.2005 - 01.2026
Primary contributor to equity factor models underpinning diversified U.S. Equity strategies (long–short, dynamic/defensive, 130–30, market-neutral) managing approximately $25 billion in institutional AUM.
Research outputs served as core alpha engines driving top-quartile performance of Jacobs Levy sub-advised funds over 3-, 5-, and 10-year horizons.
Designed and built the firm’s flagship return-prediction models, extracting persistent, uncorrelated premia from prices, valuations, sentiment, behavioral effects, and alternative (“big data”) sources.
Led the full life cycle of quantitative model development: idea generation, point-in-time data engineering, coding, in- and out-of-sample testing, multivariate inference (HAC), cross-validation, sensitivity and impact analysis, structural-break diagnostics, and reproducible research specifications.
Translated empirical research into daily production systems in collaboration with IT and Portfolio Engineering, enhancing operational robustness and scalability.
Established research documentation and replication protocols for internal validation and principal review, supporting long-term model governance.
Provided intellectual content and substantive commentary for firm-principal publications in top practitioner journals (e.g., Financial Analysts Journal, Journal of Portfolio Management, Journal of ESG Investing).
Delivered strategic thought leadership by pioneering research initiatives in alternative data and AI/ML-driven factor discovery.
Developed high-impact research presentations and narratives for senior asset-management executives and institutional clients, supporting client acquisition and retention.
Senior-most member of the firm’s quantitative research group, working in direct intellectual partnership with founders Bruce Jacobs and Ken Levy; central architect of the firm’s alpha research platform.
Institutionalized research governance by maintaining structured minutes of bi-monthly research meetings for firm principals.
Curated external intellectual capital by attending global conferences and webinars, distilling insights for internal deployment.
Senior Quantitative Analyst & Canadian Investment Strategist
Ned Davis Research Group
Venice, USA
08.2003 - 01.2004
Contributed to the Ned Davis Research Group’s Equity Selection team by developing timely investment strategies and market insights for US and Canadian equity markets serving clients worldwide.
Publication of monthly Canadian Investment Strategy paper providing clients with insights and recommendations for asset-allocation among various S&P/TSX sub-industries.
Enhancement of alpha models used in group’s active money-management process. Explored novel quantitative techniques for dynamic statistical multifactor models addressing a broad universe of US stocks. Provided thought-leadership for the group and senior management.
Design and development of a robust backtester (in C & R) to study model combinations.
Quantitative Equity Analyst
Fidelity Management & Research Company
Boston, USA
01.2000 - 01.2003
Served as a core quantitative researcher within FMR’s Institutional Growth Group (formerly Quantitative Equity Research), contributing to systematic stock-selection and portfolio-optimization strategies across institutional and retail mandates.
Drove model innovation by researching alpha ideas and integrating proprietary and third-party data sources into the research pipeline.
Co-developed a Monte Carlo–based simulation framework for historical portfolio construction, stress-testing, and performance attribution.
Acted as quantitative liaison to Fidelity’s fundamental analysts and portfolio managers, fostering cross-disciplinary research exchange and enhancing model interpretability.
Participated in senior research forums, including strategy reviews chaired by FMR President Robert Pozen, contributing to quantitative investment direction across the firm.
Quantitative Modeling Analyst
Fidelity Management & Research Company
Boston, USA
01.1997 - 01.2000
As Co-creator of core US equity product for Quantitative Equity Research: Involved in the development of a variety of quantitative stock selection models using both proprietary (FMR-specific) and conventional data sources (I/B/E/S, S&P Compustat, First Call, etc.) and the FAME 4GL programming language.
Formulated and implemented a proprietary portfolio optimization algorithm using the CPLEX C++ optimization library on the UNIX (Solaris) platform.
Historical simulations: developed backtesting strategies to evaluate performance of models and families of portfolios.
Aided in the development and implementation of a core product for Canadian equities.
Consulted with Fidelity’s London office to replicate a quantitative system for European equities.
Developed diagnostic tools for monitoring model, portfolio performance and trading.
Senior Systems Engineer
Fidelity Management & Research Company
Boston, USA
05.1996 - 01.1997
Supported Fidelity's Quantitative Equity Research group.
Developed C++ class libraries (STL, RogueWave C++ libraries and FAME API) for analysis and simulation of financial time-series data and visualization using a Java-based GUI. Other important projects included capturing real-time price feed data using CORBA technology.
Education
Certificate in Quantitative Finance -
01.2004
Analyst Training Program - Accounting
Fidelity
01.1997
Course on Advanced Quantitative Techniques for Portfolio Management -
01.1996
Fellowship -
University of Michigan
Ann Arbor
01.1996
Ph.D. - Experimental High Energy Nuclear Physics
University of Pennsylvania
Philadelphia, PA
01.1995
Skills
Python and R
C/C and FORTRAN
LaTeX typesetting
Financial data analysis
Quantitative modeling and statistical analysis
Equity research and portfolio optimization
Strategic thinking and research proposals
Data modeling techniques
Citizenship
USA
Research Publications
Nuclear Decay Following Deep Inelastic Scattering of 470 GeV Muons, E665 Collaboration, Phys. Rev. Lett., 74, 5198, 1995
Equity Management, Second Edition: The Art and Science of Quantitative Investment, Bruce Jacobs & Ken Levy, McGraw-Hill, 2017
The Challenge of Disparities in ESG Ratings, Bruce I. Jacobs and Kenneth N. Levy, Journal of Impact & ESG Investing, Spring, 2022