Vanshaj .

Operations Associate

New Delhi, Delhi, India1 yr 9 mos experience

Key Highlights

Expert in financial modeling and valuation techniques.
Proficient in Python and VBA for automation.
Strong background in quantitative finance and analytics.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative finance and analytical modeling.

Contact

Skills

Core Skills

Financial ModelingValuation ModelingFinancial AnalysisResearch & AnalysisStatistical ModelingMachine Learning

Other Skills

Corporate FinanceCritical ThinkingFinancial Market ResearchMarket AnalysisProblem SolvingPython (Programming Language)Visual Basic for Applications (VBA)

About

As a dual major in Mathematics and Engineering from BITS Pilani (KK Birla Goa Campus), I’ve always been drawn to solving problems at the intersection of numbers, systems, and strategy. My academic journey, enriched by a Minor in Finance, reflects a deep interest in understanding how quantitative thinking can be applied to real-world decision-making — especially in financial markets, valuation, and analytics. What drives me is a mix of curiosity and structure: I enjoy diving deep into abstract concepts like stochastic modeling or optimization, but I’m equally energized by making these ideas work in practice — whether that’s building a predictive model, automating a process, or analyzing structured financial instruments. Currently, I’m working as an Assistant Manager in the Complex Securities Valuations team at EY-Parthenon, where I focus on valuing structured finance products and developing analytical tools that improve accuracy and efficiency in financial modeling. Always eager to learn, collaborate, and connect — especially with those who share interests in quantitative finance, analytics, and applied mathematics

Experience

Ey-parthenon

3 roles

Assistant Manager - GR1

Promoted

Oct 2025 – Present · 5 mos

Valuation ModelingFinancial ModelingPython (Programming Language)Critical ThinkingProblem Solving

Senior Analyst

Jul 2025 – Oct 2025 · 3 mos

Intern

Jul 2024 – Jul 2025 · 1 yr

Awarded a PPO
Contributed to the valuation of structured finance products including Asset-Backed Securities (ABS), Collateralized Loan Obligations (CLOs), Debt, and Loan Pool Portfolios.
Developed and maintained Python scripts and Jupyter notebooks to automate pricing workflows and enhance valuation efficiency.
Designed VBA macros to automate preparation of workpapers and exhibits, significantly reducing manual effort and turnaround time for client deliverables.
Received multiple Spot Awards for driving automation initiatives and improving quality and timeliness of valuation outputs.

Valuation ModelingPython (Programming Language)Visual Basic for Applications (VBA)Financial Analysis

Birla institute of technology and science, pilani

Undergraduate Researcher

Aug 2023 – Dec 2023 · 4 mos

Conducted an independent research study on advanced statistical simulation techniques and their applications in regression parameter estimation.
Explored and implemented methods such as Monte Carlo Simulation to analyze estimator properties.
Developed simulation models in Python to empirically validate theoretical findings and visualize estimator behavior.
Supervisor - Dr. Debolina Ghatak

Statistical ModelingPython (Programming Language)Research & Analysis

Worldquant

Research Consultant

Apr 2023 – May 2024 · 1 yr 1 mo · Remote

Researched and developed mathematical trading models ("Alphas") using WorldQuant’s proprietary research platform and “Fast Expression” language.
Translated ideas from academic journals and financial literature into testable trading signals across global equities and multi-asset datasets.

Research & AnalysisStatistical ModelingMachine Learning

Aditya birla group

Research Intern

May 2022 – Jul 2022 · 2 mos

Conducted applied research on the use of Machine Learning techniques in predictive maintenance for industrial systems.
Analyzed sensor and operational data to extract degradation trends, identify fault patterns, and develop feature engineering pipelines.
Implemented end-to-end ML workflows in Python using libraries such as scikit-learn, pandas, and matplotlib to build and validate predictive models.
Delivered a final report summarizing key findings, use-case viability, and potential business impact in predictive asset management.

Machine LearningPython (Programming Language)Research & Analysis