Rutgers MQF (Master of Quantitative Finance)

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Rutgers MQF (Master of Quantitative Finance)

Rutgers MQF Program is ranked a "Top 10 Quant School" by Wall Street executives 2012! Visit www.business.rutgers.edu/MQF

Ranked a "Top 10 Quant School" by Wall Street executives

Financial managers and related professionals are playing an increasingly important role in mergers, consolidations, global expansion, and financing, where their extensive specialized knowledge helps to reduce risks and maximize profit. The role of these professionals is also changing in response to technological advances; finance profession

als now perform more analysis and serve directly with senior management in planning for profit maximization. The Rutgers Master of Quantitative Finance Program is a unique and exciting degree program designed to prepare you for employment in this interdisciplinary, technologically sophisticated, specialized field.

08/28/2026

The program is proud to introduce Dr. Agus Sudjianto as a member of the program's Industry Board. A pioneer at the intersection of machine learning, geometry, and model risk, Agus brings over two decades of quantitative risk leadership across global banking. He previously served as Executive Vice President and Head of Corporate Model Risk at Wells Fargo, Chief Model Risk Officer at Lloyds Banking Group, and Head of Quantitative Risk at Bank of America. A leading voice in making high-stakes AI safe, auditable, and interpretable for regulated industries, Agus advises AI firms and financial institutions, developed the open-access MoDeVa toolkit and KnowlytiX framework, and is authoring The Learned Kernel. He holds a Master's from MIT and a PhD in Engineering from Wayne State University.

08/26/2026

A big thank you to Anthony Pierre, Nate Peyman, and the team at Bloomberg for hosting a comprehensive training session for our Rutgers MQF students! 💻📊

08/25/2026

A big thank you to Lyndsay Koch from Wells Fargo for taking the time to connect with our Rutgers MQF students! 💼📈

During the one-hour session, our students gained insight into internship and full-time employment opportunities and the recruiting process at Wells Fargo.

08/19/2026

Welcoming the Rutgers MQF Fall 2026 Cohort! 🎓

We are thrilled to officially welcome our newest incoming class of Master of Quantitative Finance students to Rutgers Business School.

08/18/2026

The program is proud to introduce Giovanni Beliossi as a member of the program's Industry Board. A systematic investment professional with over twenty-five years across quantitative equity, multi-asset, and commodity strategies, Giovanni founded and led FGS Capital, a London systematic hedge fund platform, and has held senior investment roles at First Quadrant, Auriel, Astarte Capital Partners, and Axyon AI. He began his career building equity risk models at BARRA, now part of MSCI, and was instrumental in establishing IPM, the Swedish quantitative manager, and Impact-Cubed, the ESG analytics firm now owned by Euroclear. He co-chairs a Bank of England and FCA AI Consortium workshop on AI and systemic risk, serves on the IAQF board, teaches at Bologna Business School, and is also a CFA charterholder.

08/13/2026

The program is proud to introduce Tanveer Bhatti as a member of the program's Industry Board. A senior risk executive with more than 25 years across JPMorgan Chase, Citi, and Revolut, Tanveer served as Global Head of Model Risk Management at Citi and Group Head of Model Risk at Revolut, where he established and led the firm's model and AI risk function from the ground up. His experience spans quantitative finance, market risk, model validation, AI governance, and the deployment of quantitative systems across both large banks and fast-scaling fintechs. He is also an independent member of the Bank of England AI Consortium.

08/11/2026

The program is proud to introduce Professor Lukasz Szpruch as a member of the program's Industry Board. Lukasz Szpruch is Director for Finance and Economics at The Alan Turing Institute and Professor of Mathematics of Machine Learning at the University of Edinburgh, where he founded and leads FAIR, a leading research programme on AI in finance. His work focuses on translating advanced research into practical frameworks for deploying AI in high-stakes, regulated environments, spanning AI safety, governance, model risk management, and the validation of complex AI workflows. He serves on the Bank of England and FCA AI Consortium, the FCA Academic Advisory Council, and advises the International Organisation of Securities Commissions on AI in wholesale finance.

AIworkflows

08/10/2026

The program is proud to introduce Emre Kazim as a member of the program's Industry Board. Emre is co-founder and co-CEO of Holistic AI, creators of an enterprise AI governance platform used by organizations including Unilever, Michelin, Mapfre, and Wikimedia. Since founding the company in 2020, he has led its work helping large enterprises adopt and scale AI with confidence. Emre brings an extensive background in AI ethics and governance, with more than 50 peer-reviewed publications produced in collaboration with government and industry. He serves as a member of the NIST AI Safety Institute and the OECD Network of Experts on AI, and holds a PhD in Philosophy from King's College London.

08/07/2026

The program is proud to introduce Martin Goldberg as a member of the program's Industry Board. Martin is a Director at Mizuho Americas, where he heads model validation for market risk and credit risk. He has worked as a quant since 1988, with prior roles at Bloomberg, S&P, CME, Citi, and JPMorgan Chase . He is co-author of "A First Course in Model Validation and Model Risk Management," and holds a PhD in theoretical quantum chemistry from the City University of New York.

08/05/2026

The program is proud to introduce Alexander Fleiss as a member of the program's Industry Board. Alexander is Founder and Chief Executive Officer of Rebellion Research, an artificial intelligence research and asset management firm, where he also oversees a media division that has reached more than one million readers in a single month covering AI, finance, technology, and scientific innovation. He has lectured on artificial intelligence and finance at more than 30 universities and has managed research projects at institutions including Rutgers, MIT, Berkeley, Columbia, and Cornell. He serves on the financial engineering advisory boards at Cornell and Fordham, edits the Journal of Finance and Data Science, and has published over 20 research papers on SSRN.

Address

Rutgers Business School, 1 Washington Park
Newark, NJ
07102

Telephone

+19733532577

Website

http://myrbs.business.rutgers.edu/quantitative-finance/contact-us

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