Shubham Singh
I believe that behind every financial decision is a story told by data. That's why I combine my Master's in Financial Technology with a knack for building quantitative models. I'm currently focused on using programming and statistics to untangle complex problems and find actionable insights in the world of finance.
About Me
I'm a recent graduate in MSC Financial Technology with Data Science from University of Bristol, passionate about mathematics and quantitative finance, I'm developing both the technical depth and financial insight needed to thrive across modern financial roles.
I enjoy solving complex financial problems through statistical reasoning and a strong analytical mindset. My goal is to apply these skills in a quantitative role where I can use data and models to drive outcomes that matter.
Education
MSc FinTech with Data Science
Achievement
Bristol Plus Award
Experience
Nationwide Building Society and Oakcean Capital
Mentoring
50+ Students
Volunteering
Counselor and Mentor
Desh Ke Mentor
Dec 2020 – Dec 2023
Guided 100+ students
Skills and Interests
Languages & Tools
Quantitative Finance
Data Science & Analytics
Core Competencies
Interests
Projects & Research
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Explore additional projects and experiments
Experience
Quantitative Research Intern
Oakcean Capital
- •Designed and backtested statistical arbitrage strategies on Shanghai Stock Exchange equities, achieving 2.31 Sharpe ratio, 18.4% CAGR, and a max drawdown under 6% in validation.
- •Built a pair selection pipeline scanning over 1,100 stock pairs, ranking them by correlation stability and cointegration strength to shortlist top candidates.
- •Engineered a scalable database system to store and manage historical equity data, enabling faster research and future REST API integration.
- •Researched market microstructure across SSE, NASDAQ, and NYSE, designing pseudocode and risk metrics for agency algorithms.
Data and Analytics Intern
Nationwide Building Society
- •Processed and structured over 17 million customer records using SAS and Excel, improving the accuracy of channel usage segmentation across branch, call, and digital banking.
- •Built automated data pipelines and summary tables to clean, join, and validate large datasets, delivering analysis-ready inputs for performance reporting.
- •Created interactive Power BI dashboards to transform raw financial data into clear insights on customer behavior and channel performance.
- •Engaged with teams across Analytics, Risk, Treasury, and Front Office to understand how they leverage data for decisions.
Markets Quantitative Analyst Virtual Experience
Citi Group
- •Priced coffee futures and options using Cost of Carry, Black-Scholes, and Monte Carlo models, achieving pricing accuracy within 2.5% of market benchmarks.
- •Structured custom notes and bonds, applying derivative overlays to cap commodity downside exposure by up to 30%.
- •Assessed market, credit, and operational risks using 95% VaR, scenario analysis, and 3x volatility stress tests to design actionable mitigation strategies.
Quantitative Research Virtual Experience
JPMorgan Chase & Co.
- •Built an ARIMA model to forecast natural gas prices, achieving 99.97% AUC
- •Developed a gas storage contract pricing model using rate, volume, and cost constraints
- •Trained a Random Forest classifier for default prediction with 98.4% F1-score
- •Engineered FICO score buckets via quantization for risk stratification
Trading Assistant
Sainsbury's UK
- •Resolved customer concerns efficiently in high-volume retail setting
- •Demonstrated resilience and commercial awareness through problem-solving under pressure
Web Developer Intern
TwiLearn
- •Designed and deployed reusable ReactJS components, accelerating build time by 27%
- •Revamped UI/UX, enhancing user engagement by 37% and load time by 22%
- •Collaborated with backend team to integrate APIs seamlessly
Education & Certifications
MSc Financial Technology with Data Science
University of Bristol, UK
2024 – 2025 | CGPA: 3.6/4 (Expected)
Relevant Coursework: Financial Technology, Statistical Computing, Web3 Development, Probability, Statistics
B.Tech Electrical Engineering
Delhi Technological University, India
2020 – 2024 | CGPA: 3.3/4
Relevant Coursework: Calculus, Linear Algebra, Regression Analysis, Hypothesis Testing
Bristol Plus Award, Top 2.7% national rank in JEE MAIN 2020
Get In Touch
I'm always open to new opportunities, collaborations, or just a friendly chat about tech. Feel free to reach out through the form or via the contact details below.
shubham19s30@gmail.com
Location
Bristol, UK