# About Siddhant Shah

> Siddhant Shah is an Equity Research Associate at Rosenblatt Securities in New York, supporting FinTech and Digital Assets coverage. He came to markets from mathematics and data. He writes at siddhants.com in a personal capacity.

- Name: Siddhant Shah
- Current role: Equity Research Associate, Rosenblatt Securities, New York (since Mar 2026), supporting FinTech and Digital Assets coverage
- Background: mathematics and data (B.Sc. Mathematics and Computer Science, Chennai Mathematical Institute; M.S. Applied Data Analytics, Boston University)
- Website: https://siddhants.com/ (canonical profile: https://siddhants.com/about/)
- Email: siddhant@siddhants.com
- LinkedIn: https://www.linkedin.com/in/shah-siddhant/
- GitHub: https://github.com/SidShah2953
- ORCID: https://orcid.org/0009-0008-1161-3001
- Google Scholar: https://scholar.google.com/citations?user=4-hYQRAAAAAJ

## Summary

Siddhant is an Equity Research Associate at Rosenblatt Securities in New York, supporting the FinTech and Digital Assets coverage: the firms, protocols and plumbing the sector is being built on. He came to markets from mathematics and data, and is most useful where the analysis needs something built first: a dataset, a model, or a tool that makes the work faster.

Before markets his work was Bayesian inference, ensemble methods and statistical modelling, through a research assistantship at Boston University, along with systematic strategies and portfolio construction. For four years he taught maths and physics to students preparing for the International Junior Science Olympiad, and he has taught introductory options and financial mathematics at STEMS.

siddhants.com is his personal site, written in a personal capacity.

## Experience

### Equity Research Associate, Rosenblatt Securities

Mar 2026 - Present, New York, NY

- Support FinTech, digital assets and high-performance-computing infrastructure coverage, reporting to the senior analyst on the franchise.

### Visiting Researcher, Boston University, Metropolitan College

Feb 2026 - Mar 2026, Boston, MA

- Studied the market microstructure of decentralised-finance perpetual futures, building a multi-exchange dataset of 17 crypto, tokenised-equity and tokenised-commodity perpetuals and an endogenous event-detection method for markets with no opening bell. Published in the International Journal of Financial Studies (DOI:10.3390/ijfs14070178).
- Compared robust risk proxies in constrained portfolio construction across nine U.S. sector ETFs and 27 years of data. Accepted at Risks (MDPI).

### Research Assistant, Boston University, Metropolitan College

Oct 2024 - Jan 2026, Boston, MA

- Developed and back-tested proprietary trading strategies comparing Mean Absolute Deviation (MAD) vs. Markowitz mean-variance optimization across 9 sector ETFs, implementing risk-constrained portfolio construction and rebalancing algorithms with associated performance analytics including Sharpe ratios, MDD, and transaction cost analysis for alpha generation.
- Conducted research on momentum-based trading strategies in crude oil ETFs and futures, developing long-short models yielding up to 19.9% annualized returns over an 18-year testing period. Published in Stocks & Commodities Magazine (September 2025).
- Developed a strategy leveraging overnight silver returns to predict Bitcoin price movements, exhibiting lower drawdowns in a 10-year backtest. Published in Stocks & Commodities Magazine (June 2025).
- Developed probabilistic framework to reduce computational overhead in model fine-tuning, using various distributions to estimate Random Forest performance, achieving less than 3% relative error size across varying configurations. Published as 'Estimating the Accuracy of a Bagged Ensemble' (DOI:10.5121/mlaij.2025.12106).

### Program Operations Intern, Raising A Mathematician Foundation

Jul 2024 - Aug 2024, Mumbai, India

- Spearheaded the Maths Circle Initiative by RAM Foundation in India, leading a team of five overlooking data-driven business expansion and leveraging analysis of applicant data to identify high-potential markets for educational programs.
- Implemented project management infrastructure using Jira, Confluence, and Slack to streamline task tracking, documentation, and communication between cross-functional teams.

### Data Science Intern, Fino Payments Bank

May 2023 - Jul 2023, Mumbai, India

- Built a database of 6,000+ government-sponsored financial schemes, leveraging PySpark and pattern recognition on customer-level transaction data, to generate analytical insights and presented a revenue growth strategy that could 2x revenue.

### Mathematics & Physics Teacher, Greater Mumbai Science Teachers' Association

May 2023 - Jul 2023, Mumbai, India

- Helped students prepare for the various stages leading up to the International Junior Science Olympiad.

## Education

- **Master of Science - Applied Data Analytics**, Boston University (Boston, January 2026)
- **Bachelor of Science (Honors) - Mathematics and Computer Science**, Chennai Mathematical Institute (Chennai, July 2024)
- **Grade 12 (Maharashtra HSC) - Science**, PACE Junior Science College (Mumbai, September 2021)

## Licences

- Series 7: General Securities Representative (FINRA)
- Series 63: Uniform Securities Agent State Law (FINRA)

## Courses

- CFA Program, Level I, CFA Institute (2026-01)
- Mergers & Acquisitions Specialization, University of Illinois via Coursera (2025-12)
- Options 101, Akuna Capital (2025-06)
- Bloomberg Market Concepts, Bloomberg (2025-02)
- Bloomberg Finance Fundamentals, Bloomberg (2025-02)
- LLM Applications (7-Day Challenge), DeepLearning.AI / AI Camp (2025-01)
- Finance Theory I, MIT OpenCourseWare (2024-06)
- Decentralised Finance (DeFi) Primitives, Duke University via Coursera (2023-07)
- Finance & Quantitative Modeling for Analysts Specialization, UPenn via Coursera (2023-01)
- Quantum Wonder, Raising A Mathematician Foundation (2022-08)
- Principles of Corporate Finance, MIT OCW (2022-08)
- CS50: Introduction to Computer Science, Harvard via EdX (2021-09)
- Single Variable Calculus, UPenn via Coursera (2020-09)
- Ethical Hacking, IIT Bombay TechFest 2020 (2020-01)

## Disclosure

The views expressed here are my own personal opinions. This is **not investment advice** and should not be relied upon as such. Nothing here is connected to, endorsed by, or written on behalf of Rosenblatt Securities.

---

Source: https://siddhants.com/about/
Site index for agents: https://siddhants.com/llms.txt