Hi Everyone

I'm Harsh Raj, a Financial Engineering master's student at NYU Tandon with nearly four years of experience in quantitative risk and data analytics at Bank of America. I'm now building on that foundation to pursue opportunities in quantitative research, risk management, and financial markets.

About me

Before pursuing my MS in Financial Engineering at NYU Tandon, I spent nearly four years at Bank of America in the Quantitative Strategies & Data Group, working on market risk reporting, FRTB, and VaR analytics. My work included developing and maintaining data controls, improving reporting processes, and building Excel VBA automation that reduced manual effort by up to 95%.

Earlier, at ZS Associates, I worked on healthcare analytics, developing Python forecasting models, analyzing a $2 billion specialty pharmaceutical portfolio, and migrating data pipelines to AWS.

I'm particularly interested in the intersection of quantitative modeling, risk management, and financial markets, where I can combine my industry experience with the technical and mathematical foundations I'm developing at NYU.

Outside finance, you'll usually find me playing chess or following football and cricket.

For Recruiters

I'm actively exploring internship opportunities in quantitative finance, market risk, and trading-related roles. If my background aligns with your team's needs, I'd welcome the opportunity to connect.

Feel free to reach me at applications.harsh@gmail.com or schedule a 30-minute conversation through Calendly.

My Skills

  • C++ logo C++
  • Python logo Python
  • SQL logo SQL
  • JavaScript logo JavaScript
  • AWS logo AWS
  • Alteryx logo Alteryx
  • Excel VBA logo Excel VBA
  • Tableau logo Tableau
  • Git logo Git
  • Jira logo Jira

Focus Areas

  • Market Risk Analytics
  • Quantitative Modeling
  • Risk Data Validation
  • Regulatory Reporting
  • Risk Controls & Automation
  • ETL Optimization

Where I've Worked

  • Bank of America logo
  • ZS Associates logo

I mentored and worked with Harsh during my time as an Associate Consultant at ZS. He is a diligent and sincere person. He is always ready to go the extra mile to deliver impactful work. The best part is his technical expertise and understanding of things. He will be an asset to any organization that he works for.

Jyotirmay Bansal

Harsh and I have worked together for 2 years in the same project and I can vouch for his Detail Oriented nature and strong technical skills. He is an excellent communicator with a positive attitude and never back down spirit. He is really insightful and has the ability to analyze problems from wide perspectives. He will be an asset to any organization he works for.

Parul Khurana

I had the pleasure of working closely with Harsh during our B.Tech days, where we collaborated on multiple college projects. Harsh is one of the most sincere and dependable individuals I’ve worked with, consistently bringing his A-game to every task. His unwavering commitment to excellence, critical thinking, and innovative solutions were instrumental in the success of our projects. Beyond his technical skills, his collaborative nature and willingness to support teammates made him an exceptional team player, keeping us motivated even during challenging times. Harsh’s dedication and work ethic make him an asset to any team or organization, and I wholeheartedly recommend him for any role or opportunity he pursues.

Shounak Sen

Resume

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Education

  1. New York University, Tandon School of Engineering location icon New York, NY MS in Financial Engineering

    2026 — 2028 (expected)

    • Relevant Coursework: Valuation for Financial Engineering, Introduction to Derivative Securities, Financial Risk Management, Econometrics and Machine Learning with Python.

  2. SRM Institute of Science and Technology quote icon Kattankulathur, Tamil Nadu, India B.Tech in Computer Science and Engineering

    2017 — 2021

    • Graduated with 81%.
    • Relevant Coursework: Data Structures and Algorithms, Operating Systems, Database Management Systems, Artificial Intelligence, Machine Learning, Compiler Design, Computer Networks, Cloud Computing, Big Data Analytics.

Experience

  1. Bank of America location icon Gurugram, India Assistant Manager, Quantitative Strategies & Data Group (QSDG)

    December 2022 - August 2026

    • Investigated and resolved data-quality breaks affecting FRTB and VaR reporting for trading accounts, working with upstream teams and stakeholders.

    • Owned 10+ data controls, including the implementation of a new control in production.

    • Implemented code changes to remap trade groups, closing data gaps and anomalies against defined test strategies and acceptance criteria; wrote the design documentation.

    • Automated weekly reporting in Excel/VBA, cutting manual effort by up to 95%.

  2. ZS Associates location icon Gurugram, India Business Operations Associate

    July 2021 - October 2022

    • Analyzed IQVIA LAAD patient-level claims data for a US healthcare client’s specialty-drug portfolio ($2B revenue) to deliver commercial analytics to brand leadership.

    • Built forecasting models in Python to find top-line drivers for a new drug launch; client leadership used the results to revise brand strategy.

    • Led the migration of HIV PrEP therapy ETL pipelines from an internal analytics platform (CAH) to AWS.

    • Automated recurring reporting with Alteryx, SQL and Excel/VBA, saving 150+ hours per month; handled 100+ ad-hoc analytics requests and maintained KPI dashboards.

  3. ZS Associates location icon Gurugram, India Business Operations Associate Intern

    January 2021 - June 2021

    • Built a therapy-brand benchmarking database for a US pharmaceutical client; it became the reference source for commercial analytics projects and answered 25+ requests.

    • Automated ETL processes in Alteryx and SQL, saving 35+ hours per month.

Publications

  1. Reducing Cloud Workload Costs in Geographically Distributed Data Centers with GeoSched quote icon ICCNT, IEEE

    July 08, 2023

    The paper reports an 8.2% reduction in energy consumption and an 11.7% reduction in operational costs through cost-aware workload placement. The accompanying explainer includes an independent, paper-informed simulator; its saved synthetic demonstrations do not establish reproduction of the paper’s results.

  2. Investigate the properties of FTA through empirical experimentation quote icon ETTIS, Springer

    January 18, 2025

    Empirical investigation of fuzzy tiling activation in reinforcement learning, including tiling bounds and normalization. The accompanying interactive explainer and PyTorch implementation make the experiments inspectable; a full-scale rerun is being prepared.

Projects