Quantitative Researcher · Brunel University London

Shivam
Shah

Aerospace Engineering student building stochastic risk models, Monte Carlo simulation engines, and adversarial market intelligence frameworks. Published on SSRN & arXiv, 2026.

Python · C++ · R Monte Carlo SSRN Published Bloomberg Certified Leicester, UK

View experience GitHub ↗

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London

City of London · Financial District

Altitude: 8,400m

LSE+0.4%

S&P 500+0.2%

NIKKEI+1.1%

HSI−0.3%

DAX+0.8%

VIX14.2

GBP/USD1.2741

[ 01 / 05 ] · LEICESTER, UK

Co-Founder & Financial Analyst

Goshalla · Registered Charity · Aug 2013 – Present

Insolvency ↓

−45%

P&L Var ↓

−30%

Capital

£260k+

4,000+ annual participants, 30+ volunteers, £260k+ raised for long-term animal sanctuary.
C++/Python Monte Carlo across 20,000 paths — insolvency risk −45%, £21k cash floor set.
Hedging framework: P&L variance −30%, £8k/yr downside protection.
Valued £157k shelter build via DCF (9% WACC): +£22k NPV, 12% IRR.

Aug 2013 – Present

C++PythonMonte CarloDCF

[ 02 / 05 ] · SKEGNESS, UK

Financial Director

Meadowscourt Care Home · Apr 2024 – Present

Reporting

−94%

Manual Work

−4.5hr/wk

Budget

£865k

C++ Monte Carlo engine for stochastic liquidity and contract-risk modelling.
Python/SQL ETL pipelines: 72hr → 4hr month-end reporting, 100% data integrity.
Stochastic cash-flow models managing £865k operational budget.

Apr 2024 – Present

C++PythonSQLETL

[ 03 / 05 ] · BRUNEL UNIVERSITY LONDON

Founder — Quantitative Trading Society

Brunel University London · Jan 2024 – Present

Members

30+

Focus

Algo Trading

Status

Active

Founded and lead Brunel's student quantitative trading society — 30+ active members.
Teaching algorithmic trading, risk management, strategy validation, and market microstructure.
Only society of its kind at Brunel — connecting financial theory with systematic practice.

Jan 2024 – Present

LeadershipAlgo TradingTeaching

[ 04 / 05 ] · LIBF GLOBAL COMPETITION

Student Trader · Ranked #1 / 10,000

LIBF Global Trading Competition · 2021

Final Rank

Participants

10,000

Percentile

Top 0.01%

Built and deployed systematic trading strategies with dynamic risk management and capital allocation.
Analysed equity and derivative instruments across volatile market regimes.
Demonstrated robust risk-adjusted outperformance under live market conditions.

Nov 2021 – Apr 2021

EquitiesDerivativesRisk Mgmt

[ 05 / 05 ] · BRUNEL UNIVERSITY LONDON

Team Leader · 1st Place

READY Program · Sep – Dec 2025

Result

1st Place

Recognition

Mayor of London

Year

2025

Modelled a resource-constrained deployment system for Afghan IDP camps.
Led team to 1st place — selected to present to the Mayor of London.
Applied systems engineering and optimisation to a live humanitarian logistics challenge.

Sep – Dec 2025

Systems Eng.Optimisation

Research & Projects

Published work.
Open-source tools.

SSRN · arXiv · Jan 2026

Adversarial Market Intelligence: Stress Amplification & Self-Healing in Stochastic Models

Adversarial MC framework — tail-risk amplification, model fragility, non-linear failure modes. Quantified VaR, ES, drawdown recovery across adversarial regimes.

Read on SSRN ↗

Open Source · Python

T+1 Copilot — SEC Settlement & Affirmation Alert System

Real-time settlement risk monitoring — SEC T+1 deadlines, automated triggers for failed allocations, full-stack open-source on GitHub.

View on GitHub ↗

Reinforcement Learning · R

DeepLOBMarketMkr — Execution & Microstructure Simulator

RL agent optimising queue position under non-stationary LOB dynamics. Outperformed GLM/RF baselines.

View on GitHub ↗

Aerospace · Python

Autonomous Robot Path Planner

Ultrasonic feedback and real-time path planning. Control-theoretic stability and optimisation under uncertainty.

Shivam
Shah

Published work.
Open-source tools.

The full stack.

Open to
opportunities.

ShivamShah

Published work.Open-source tools.

The full stack.

Open toopportunities.

Shivam
Shah

Published work.
Open-source tools.

Open to
opportunities.