Quantitative Finance & Financial Engineering

YASH RANAWAT

*******@***.*** 929-***-**** LinkedIn

EDUCATION

NEW YORK UNIVERSITY, TANDON SCHOOL OF ENGINEERING (GPA: 3.85/4)Brooklyn, NY Master of Science in Financial Engineering 05/26

UNIVERSITY OF MUMBAI (GPA: 9.2/10)Mumbai, India

Bachelor of Technology in Computer Engineering with Honors in Intelligent Computing 06/24 PROGRAMMING & TECHNICAL SKILLS

Programming: Python, Java, Kotlin, Excel, VBA, C/C++, SQL, Bloomberg Terminal, NumPy, Pandas, TensorFlow, PyTorch, NLP Certifications: Bloomberg Certified, Akuna Options 101, Akuna Options 201 COURSEWORK HIGHLIGHTS

Mathematics & Statistics: Quantitative Methods in Finance, Financial Risk Management, Probability Theory, Mathematical Statistics, Linear Algebra, Multivariate Calculus, Game Theory, Stochastic Calculus & Dynamic Asset Pricing, Volatility Models Finance and Economics: Corporate Valuation, Mergers & Acquisitions, Valuation for Financial Engineering, Hedge Fund Strategies EXPERIENCE

OCEO Intern (Office of the CEO), SageSure 06/25 - 12/25

● Supported the planning and launch of internal data products that automated portfolio projection workflows, translating business requirements from underwriting and carrier operations teams into Python-based solutions

● Analyzed portfolio performance, profitability, and loss trends using Python and SQL, turning complex operational data into product recommendations and pricing insights for cross-functional stakeholders

● Designed and iterated on DOMO dashboards for underwriting teams, incorporating client feedback to improve usability, reporting efficiency, and access to portfolio performance metrics Quant Research Intern, Anived Portfolio Managers 08/23 - 11/23

● Launched Python research tools for index and metal futures, translating trading needs into analytics and execution workflows

● Backtested statistical arbitrage signals on 5+ years of CME and NYSE data and recommended strategy improvement

● Enhanced an order execution product using OOP and basket orders, reducing transaction costs by 5% Finance Intern, IDBI Bank 06/23 - 08/23

● Conducted market and competitive research on fixed-income financial products worth $500M+, analyzing yield curves, credit spreads, duration risk, regulatory developments, and monetary policy trends

● Evaluated 10+ corporate loan applications using financial statements, credit metrics, and business risks

● Prepared financial product documentation, credit reports, and stress-testing analyses to support lending and investment decisions Artificial Intelligence Intern, Infiheal 03/23 - 05/23

● Contributed to the development of an AI-powered mental health product by translating classification requirements into a multi-label NLP solution across 10+ user categories

● Built and evaluated machine learning pipelines using Python and TensorFlow, testing logistic regression and attention-based models to improve classification precision by 15%

● Partnered with technical stakeholders to refine model outputs, document performance trade-offs, and support the integration of classification features into the broader product workflow RESEARCH / ACADEMIC PROJECTS / FINANCIAL MODELLING Fixed Income Curve Modelling & Valuation 02/25 - 04/25

● Bootstrapped zero and forward yield curves to support valuation of fixed income instruments and cash flow discounting

● Computed bond prices and interest rate sensitivities (DV01, duration, convexity) under multiple curve scenarios

● Performed independent price verification (IPV) by comparing model-implied prices with market observations. Enhancing Time Series Forecasting and Uncertainty Estimation with Bayesian Neural Networks (JCAA)01/24 - 03/24

● Applying Bayesian Neural Networks to Transformer based Deep Learning, quantifying uncertainty in stock price forecasting

● Achieved an R-squared value of 0.77, explaining 77% of stock price variance while producing probabilistic forecasts with uncertainty modeling through variational inference methods, producing upper & lower bound forecast for the next 10 days EXTRACURRICULAR

● Bloomberg Global Trading Challenge, 2025

● Google Developer Student Club DJSCE, Co-lead, 2022-2023 Smart India Hackathon, Finalist, 202

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