10/25/2026 updated

**** ******** ****
100 % available

Quantitative Financial Modeling & FinTech Systems Engineer

New Delhi, India
Worldwide
Corporate Finance, Valuation & Computational Quantitative Modeling
New Delhi, India
Worldwide
Corporate Finance, Valuation & Computational Quantitative Modeling

Profile attachments

Comprehensive Quantitative & FinTech Skills Inventory.pdf

About me

FinTech developer & quantitative modeler. I build custom valuation engines, automated DCF/Reverse DCF pipelines, and DuPont diagnostics in Python & FastAPI. Architect of Quilet Terminal (live on Docker/Render). Specializing in financial automation for funds, family offices, and RIAs.

Financial Data AnalysisWeb ScrapingData IntegrationExtract Transform Load (ETL)Mathematical FinanceFinance SoftwaresFinancial SystemsFinancial EngineeringFinancial ModelingFinancial Risk ModelingFinancial SoftwarePython (Programming Language)NumPyQuantitative InvestingSciPyData IngestionGitpandasPytestApi DesignData PipelineDocker
• Quantitative Financial Modeling & Corporate Valuation
Expertise in explicit 5-year unlevered FCFF modeling, dynamic WACC derivation via CAPM, perpetual terminal valuation using the Gordon Growth model, and enterprise-to-equity net debt reconciliation. Built numerical expectation inversion models (Reverse DCF), 2D 5×5 margin-of-safety stress matrices, and continuous valuation sensitivity curves.

• Financial Statement Analysis & Earnings Quality
Implementation of 3-stage DuPont ROE decomposition to isolate whether equity returns stem from genuine operating margins, asset turnover velocity, or balance-sheet financial leverage. Working capital analysis, cash conversion cycles, and solvency/coverage ratio diagnostics.

• Software Engineering & FinTech Architecture
Design and development of modular FinTech systems enforcing strict Separation of Concerns (SoC) between an isolated computational engine (fin_engine) and data delivery layers. Built asynchronous REST API endpoints using FastAPI, Uvicorn, and Pydantic v2 schemas for strict contract validation. Features a global currency mapping engine supporting USD ($), INR (₹), EUR (€), GBP (£), JPY (¥), CAD, AUD, CHF, and HKD.

• Resilient Ingestion & Pluggable Data Pipelines
Engineered financial data pipelines with in-memory TTL caching, token-bucket request throttling, and exponential backoff error handling. Architecture is modular to support live market feeds, local CSV financial filings, or client database exports.

• Numerical Optimization & Applied Mathematics
Applied SciPy's numerical root solver (scipy.optimize.brentq) for expectation inversion, implementing parameter bounding, edge-case clamping, and convergence validation under extreme inputs.

• Test-Driven Development (TDD) & Quality Assurance
Designed and maintained an automated test suite with 26 passing unit and integration tests in pytest, verifying accounting identities, capital structure constraints, and mathematical determinism prior to presentation serving.

• Containerization, DevOps & Cloud Delivery
Packaged full-stack Python services into optimized Docker containers for cross-platform execution. Managed version-controlled Git/GitHub workflows and deployed production cloud applications on Render infrastructure.

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishFluentHindiGood

Contact form

Log in to get in touch

You need to be logged in to use the contact form.

Sign upLog in