Open to opportunities

Raj
Thakur

Mathematical sciences student and quantitative analyst in training — combining mathematical rigour with modern data science, risk modelling, and financial analysis.

Bachelors in Mathematical Sciences IFoA Member CS1 Passed CM1 Passed
2
IFoA Exams Passed
CS1 · Actuarial Statistics  |  CM1 · Actuarial Mathematics
5+
Technical Languages
Python · R · C++ · SQL · MS Excel · Power Bi
Areas of Interest
Risk · Data · Research · AI · Finance
About

Quantitative mind,
rigorous by nature.

I'm Raj Thakur, a Bachelors in Mathematical Sciences student with a focus on actuarial science, quantitative modelling, and data analysis. I am a member of the Institute and Faculty of Actuaries (IFoA), having passed the CS1 and CM1 professional examinations.

My academic and professional interests sit at the intersection of mathematics, risk, and intelligent systems — from classical probability and statistical inference to modern machine learning and financial modelling. I am drawn to work that demands precision: research, quantitative analysis, actuarial practice, and data-driven problem solving.

Alongside technical expertise, I place strong value on clear communication, collaborative leadership, and translating complex quantitative results into actionable decisions.

CS1
Actuarial Statistics
Probability, statistical inference, regression analysis, time series, and Bayesian methods applied to actuarial contexts.
✓ Passed
CM1
Actuarial Mathematics
Life contingencies, annuities, insurance contract pricing, and core financial mathematics.
✓ Passed
Skills

Expertise &
Capabilities.

Actuarial & Quantitative
Actuarial Analysis Financial Mathematics Quantitative Modelling Stochastic Modelling Risk Analysis Mathematical Optimisation
Mathematics & Statistics
Statistics Probability Theory Regression Analysis Calculus Linear Algebra Real Analysis Discrete Mathematics
Finance & Economics
Business Finance Economic Analysis Data-driven Problem Solving
Data Science & Technology
Machine Learning Artificial Intelligence Data Analysis Python R C++ SQL MS Excel Power Bi
Professional
Technical Writing Communication Leadership
Interests

Where I want
to make impact.

📊
Data & Research
Building rigorous, evidence-based analyses and contributing to quantitative research across academic and professional settings.
⚠️
Risk Modelling
Quantifying and managing uncertainty in financial, insurance, and systemic risk contexts through actuarial and statistical methods.
🤖
Artificial Intelligence
Developing and applying intelligent systems grounded in mathematical theory, with a focus on real-world analytical problems.
📈
Quantitative Finance
Applying actuarial, statistical, and optimisation methods to financial markets, investment analysis, and economic modelling.
Projects

Work &
Projects.

🚧

Projects coming soon. Check back later.

Contact

Let's
connect.

I am open to research collaborations, internships, and opportunities in actuarial science, data science, risk analysis, and AI. Please feel free to get in touch.