Deepankar Parashar, FRM — Product Manager
Strats with experience in Market Risk and Counterparty Credit Risk. Designing and deployed robust and scalable Risk Management software for firm-wide risk assessments. Spearheaded VaR Re-engineering project with robust and scalable API designs. Build macro economics and stress scenarios for rates, Equities which can be scaled for multiple metrics. Comprehensive knowledge of stochastic calculus, Pricing models, valuation methodology across asset classes, focusing on rates and Equities models. Well-versed in calibration techniques for Hull White, Libor Market model, Black Scholes, Dupure Local Vol and Stochastic Vol Model like Heston and SABR model etc. Enthusiastic, quick learner and humble quant, eager to excel in the quant domain.
Stackforce AI infers this person is a Fintech Quantitative Risk Specialist with strong programming and analytical skills.
Location: Bengaluru, Karnataka, India
Experience: 8 yrs 6 mos
Skills
- Risk Management
- Quantitative Risk
- Counterparty Credit Risk
- Model Development
Career Highlights
- Expert in Risk Management and Quantitative Analysis.
- Led significant projects in financial risk re-engineering.
- Strong programming skills in Python and R for quantitative finance.
Work Experience
BNP Paribas
Quantitative Researcher SIGMA (5 mos)
Goldman Sachs
Vice President Strats (5 yrs 6 mos)
NatWest Markets
Senior Quant Analyst (2 yrs 6 mos)
HueHealth
Marketing Intern (2 mos)
Phyzok Learning Solutions
Intern (2 mos)
Education
Integrated Master of Technology - MTech at Indian Institute of Technology, Delhi