Mailroom Assistant

Pratyay Ghosh

Boston, MA LinkedIn 1-781-***-**** ********@**.***

EDUCATION

Boston University Sep 2024 - Dec 2025

Master of Science, Mathematical Finance & Financial Technology Coursework: Fixed Income, Credit Risk, Statistics, Economics for Fintech, Stochastic Calculus, Algorithmic & HF-Trading, ML Maulana Abul Kalam Azad University of Technology August 2019 - July 2023 Bachelor of Technology, Electronics and Instrumentation Engineering Coursework: Calculus, Numerical Methods, Data Structures, Artificial Intelligence, Economics, Big Data, Network Analysis CERTIFICATIONS

Introduction to the Charles River IMS (CRIMS) Charles River Trader Fundamentals of Quantitative Modeling CFA (2026) SKILLS

Technical Skills: Python SQL R C++ CRIMS (Charles River IMS) Bloomberg Terminal IBKR TWS MS Excel (Advanced)

Power BI MS PowerPoint

Analytical Skills: Trade Analytics Trading Operations & Reconciliation Trade Execution Support Risk Management & Control Derivatives (Swaps, Futures, Options) Value-at-Risk (VaR) Expected Shortfall (ES) Market Microstructure Data Validation Predictive Modeling Time Series & Regression Analysis Model Validation Statistical Methods Data Visualization Soft Skills: Product Thinking Collaborative Execution Structured Problem-Solving Prioritization User-Centric Thinking WORK EXPERIENCE

Residence Hall Mailroom, Boston University Boston, MA Mail Room Assistant Aug 2025 - Present

• Processed and categorized incoming mail and packages, including high-priority and time-sensitive correspondence, ensuring accurate and timely distribution across departments

• Tracked and resolved missing, delayed, or unclaimed items, maintaining records and coordinating follow-ups to minimize operational disruptions

• Supported daily mailroom operations and compliance procedures, contributing to efficient internal logistics and workflow reliability

State Street-Charles River Development Burlington, MA FinTech Product Management Intern June 2025 – Aug 2025

● Contributed to the product development of Charles River IMS (CRIMS) at Charles River Development, a global leader in the investment management technology business for over 40 years, recently acquired by the State Street Corporation

● Gained hands-on exposure to Charles River IMS (CRIMS), an order and execution management system (OEMS) supporting multi-asset trading, portfolio management, and post-trade workflows across equities, fixed income, and OTC derivatives

● Collaborated with the Trading Services (Order Management) team to triage and resolve client-reported trade exceptions, including issues in trade capture, allocation, and confirmation workflows, coordinating fixes through JIRA and validating patches in a staging environment prior to release

● Developed practical understanding of trade lifecycle management, exception handling, and operational risk controls within a global buy-side order management environment

PROJECTS

Boston University Boston, MA

Stochastic Pricing and Risk Simulation of CMO Tranches Using Bloomberg Terminal Data August 2025 - Present

● Engineered a Monte Carlo simulation in Python to price PAC, support, and Z-tranches of Agency CMOs using Hull-White interest rate dynamics and Bloomberg-derived amortization tables across 1,000 scenarios

● Modeled dynamic conditional prepayment rates based on historical FNMA pool behavior, rate path sensitivity, and borrower burnout, improving tranche cash flow forecast accuracy by 29.6% over static PSA

● Quantified risk exposure through dual-scenario stress testing (+300 bps rate shock and 5.0% CPR freeze), revealing 83.4% PAC collar breach probability and 12.7% expected PV loss on support tranches Decoding Industrial Dynamics: Quantitative Trading in the S&P 500 Industrials Sep 2024 - Dec 2024

● Developed a hybrid trading strategy integrating momentum indicators and machine learning to explore inefficiencies and uncover alpha opportunities within the S&P 500 Industrials sector

● Constructed a ML Random Forest model leveraging feature indicators [SMA, RSI, ATR] & achieving 54% prediction accuracy in forecasting market direction

● Executed Drift-Diffusion simulations to validate momentum signals, optimizing trade execution with transaction costs below 1.5% and delivering 12–20% returns over two-year simulations US Citizen/ No sponsorship Reqd.

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