Pricing, parametric product design, and actuarial model modernization.
For insurers and reinsurers. Six years pricing life, annuity, and parametric risk — and rebuilding the models behind it on Databricks — from an IFoA associate who ships the production systems, not just the memos.
Organizations where work has been delivered
The pricing work and the engineering it runs on.
I started at Milliman in 2020 as an intern building cashflow models for Indian life products, and left four and a half years later as an actuarial data scientist responsible for VM-21 engines and billion-record experience-study pipelines on Databricks. Since January 2025 I have worked independently, pricing term and credit life reinsurance for RGA and designing a multi-peril parametric climate product for South-East Asia.
I am an Associate of the Institute and Faculty of Actuaries — ten exams passed — with a mathematics degree from the University of Delhi. The through-line of my work is simple: pricing rigor and production engineering belong to the same person. A basis you can defend in front of a regulator, running on a pipeline that refreshes in hours rather than quarters.
Download résumé (PDF) →Practice areas
Four offers, each with the production system behind it.
I work with insurers, reinsurers, and consulting teams to evaluate complex risks, model extreme scenarios, and modernize legacy calculations — and I stay until the result runs in production.
See the loss distribution before you commit capital.
Trigger definition through payout structure, rating logic, and policy wording — with burn cost, AAL, and stress testing under historical and stressed climate scenarios. Built and priced in Python for a multi-peril (heat, rain, storm, pollution) product in South-East Asia.
Specialist pricing capacity that plugs into your process.
Experience analysis and basis development for term life and credit life, mortality curves you can defend (actuarial laws + GLM splines), mortality improvement from IIB and census data, and GGY-AXIS maintenance and sensitivity testing. Delivered on RGA reinsurance engagements.
Refreshes that run in hours, not quarterly fire drills.
Legacy Excel, R, and AXIS estates rebuilt on Databricks, PySpark, and Delta Lake, with formal model-appropriateness and model-risk assessment. A VM-21 engine plus cashflow, hedging, and risk models; 1B+ record, $1T fund-value pipelines cut 40% via Spark SQL and cluster tuning; MLflow versioning; MG-ALFA/Integrate transition.
Know which policies will lapse before it shows in results.
Lapse and segmentation models for FIA and MYGA in a high-rate, elevated-lapse environment (supervised and unsupervised); risk-relativity and high-risk-life flagging with XGBoost, logistic, and linear models; seriatim experience-study pipelines in SQL Server and R. A Databricks sparkR/sparklyr POC beat legacy R runtimes.
Experience
Six years, one through-line: models that hold up and run fast.
Pricing & Product Development Consultant
Parametric climate product design
- Designed and priced parametric structures for South-East Asia climate risks (heat, storm, rain, pollution) from trigger thresholds to payout structures.
- Built Python prototypes to stress-test historical weather events and model burn cost, average annual loss (AAL), and load factors.
- Drafted policy triggers, payouts, and legal basis criteria documents.
Reinsurance pricing (client: RGA)
- Priced term life and credit life reinsurance products through experience studies.
- Maintained GGY-AXIS models for pricing valuations and basis sensitivity testing.
- Built actuarial mortality curves using law-based calibrations and GLM spline estimators.
- Analyzed long-term mortality improvement (IIB and census data) and applied XGBoost, logistic, and linear models to assess risk relativities and flag high-risk lives.
Actuarial Data Scientist
- Built a high-performance VM-21 calculation engine on Databricks/PySpark, replacing legacy desktop Excel runs and formally evaluating model appropriateness.
- Architected Databricks pipelines processing variable annuity experience studies for portfolios exceeding 1 billion rows and $1 trillion USD in fund value.
- Optimized Spark SQL execution configurations and Delta Lake version control, cutting model runtime by 40% and lowering cloud costs.
- Integrated MLflow to track performance, version predictive models, and log experiments.
- Designed lapse models for FIA and MYGA products using unsupervised clustering and supervised algorithms during a high interest-rate environment.
- Collaborated with MG-ALFA and Milliman Integrate teams to scale calculations.
- Led and expanded a team of actuarial data analysts, building training and onboarding materials.
Actuarial Data Analyst
- Developed annuity experience-study data pipelines in SQL Server and R, calculating seriatim exposure metrics and ensuring data quality.
- Coded policyholder behavior predictive models (surrender, benefit utilization) in R.
- Led a Databricks proof-of-concept using sparkR and sparklyr to migrate legacy single-thread R code to parallel pipelines.
- Contributed to micro-insurance product pricing for the Vietnam market with remittance payment mechanics.
Actuarial Intern
- Constructed initial cashflow models for life insurance policies in India.
- Mapped and documented policy admin database tables for migrating legacy systems to a new platform.
Working stack
The tools are ordinary. The way they are put together is not.
Languages
Python
R
SQL
Data & Cloud
Databricks
Azure
MLflow
Actuarial & BI
Excel / VBA
Power BI
Ways of working
Three engagement shapes.
Technical advisory during discovery: drafting proposal narratives, feasibility studies, and risk quantification for prospective products.
Production-ready Python, R, and SQL alongside reporting frameworks and dynamic scenario-testing visualizers your team keeps.
Legacy calculations rebuilt into scalable cloud architectures (Databricks), then handed off with documentation and team training.
Credentials
Qualifications on the record.
- Professional credential
- Associate, Institute and Faculty of Actuaries (AIA)
- Actuarial exams passed
- CS1 · CS2 · CM1 · CM2 · CB1 · CB2 · CB3 · CP1 · CP2 · CP3
- Degree
- B.Sc. (H) Mathematics, Kirori Mal College, University of Delhi
- Consulting since
- January 2025 (independent) · 2020 (in practice)
Writing
Notes from practice.
Climate-risk triggers, mortality basis work, distributed Spark pipelines, and what model governance actually requires — written from the projects, not about them.
Book a 30-minute scoping call.
Tell me what you're pricing or modernizing and I'll tell you whether I can help and how I'd scope it. If it's not a fit, I'll say so. Reply within one business day — or email b.yash289@gmail.com directly.