Varshan Thirumalesh

Actuarial, Risk & Data Analytics

London, England, United Kingdom

About

Mathematics graduate with a strong analytical background and a genuine interest in solving complex problems using data and quantitative methods. Adaptable and detail-oriented, with the ability to communicate clearly, work collaboratively, and approach challenges in a structured and thoughtful way. Enjoy learning new concepts quickly and applying them in practical settings, particularly within finance, risk, actuarial and analytics.

Experience

  • Student Member at The Institute and Faculty of Actuaries (IFoA)
    Jul 2024 - Present · 2 yrs

    Currently preparing for the Institute and Faculty of Actuaries (IFoA) professional qualification pathway alongside full-time professional development, building knowledge across actuarial mathematics, risk and financial modelling.

  • Trainee Actuary at Congruent Actuarial & Financial Risk Consultants
    Oct 2024 - Apr 2025 · 7 mos

    Supported the delivery of actuarial and risk advisory services across a diverse client portfolio, assisting with pension scheme valuations, including liability modelling, contribution analysis and funding assessments. Conducted redress calculations for DB to DC pension transfers, validating quarterly outputs through comparative variance analysis to ensure methodological consistency and accuracy, while streamlining recurring validation processes through VBA macro automation. Produced regulatory reports in line with FCA requirements and Technical Actuarial Standards, applying actuarial assumptions including mortality, CPI/RPI inflation, discount rates and yield curves. Collaborated on expert witness assignments by preparing financial and legal documentation for Ombudsman proceedings involving pension divorce settlements and pension mis-selling disputes.

  • Trading Risk Analyst at Sportradar
    Apr 2022 - Aug 2022 · 5 mos

    Monitored betting markets and assessed client risk exposure using SQL and pivot-table analysis, investigating customer behaviour, odds correlations, and trading trends across pre-match and in-play events. Enhanced predictive pricing models through data scraping, feature engineering, scenario analysis, and validation of trading platform outputs to ensure pricing accuracy and operational reliability. Delivered stakeholder reporting and resolved operator queries using Qlik and Grafana dashboards to translate quantitative data into actionable insights, improving workflows and strengthening risk-control processes.