S

Shrey Raheja

Product Engineer

Chicago, Illinois, United States9 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in developing systematic investment strategies.
  • Proficient in financial modeling and risk assessment.
  • Strong background in machine learning applications in finance.
Stackforce AI infers this person is a Fintech professional with expertise in quantitative analysis and financial modeling.

Contact

Skills

Core Skills

Financial Modeling

Other Skills

C++CDS PricingCredit RiskData MiningEquity OptionsMachine LearningMathematical ModelingMicrosoft ExcelMonte Carlo SimulationsNLPPython (Programming Language)RRisk AssessmentStatisticsValue at Risk

Experience

9 yrs
Total Experience
3 yrs
Average Tenure
3 yrs 7 mos
Current Experience

Geneva trading

Quantitative Trader

Nov 2022Present · 3 yrs 7 mos · Chicago, Illinois, United States

Calamos investments

Quantitative Analyst

Jun 2020Oct 2022 · 2 yrs 4 mos · Greater Chicago Area

  • Building systematic investment strategies on stocks and derivatives using Machine Learning and Statistics.

Weatherstorm capital

Quantitative Research Intern

Oct 2019Dec 2019 · 2 mos · San Francisco Bay Area

  • Developed equity strategies using macro based style factor timing and NLP based stock selection
  • Developed signals for bonds using Machine Learning

Credit suisse

Quantitative Analyst

Jan 2016Feb 2019 · 3 yrs 1 mo · Mumbai Area, India

  • Worked in the Model Risk Management team on a diverse range of pricing and risk models, working on projects across different equity and credit derivative products. Deep dived and challenged models based on mathematical soundness and performance. Developed codes to simulate underlying processes, calculate derivative pricing and perform Monte Carlo simulations. Worked on projects such as-
  • Equity Option modelling analysis-Simulation of Stock option price and Credit Exposure for Equity options
  • Data mining using Latent-factor analysis for firm-wide Credit risk modelling
  • CDS Pricing and Credit exposure assessment
  • Statistical analysis of firm capital and risk aggregation framework
  • Firm-wide Value at Risk(VaR) based internal Market Risk Assessment

Education

University of California, Berkeley

Master's degree — Financial Engineering

Jan 2019Jan 2020

Birla Institute of Technology and Science, Pilani

Master's degree — Economics

Jan 2011Jan 2016

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering - BE — Mechanical Engineering

Jan 2011Jan 2016

CFA Institute, USA

Chartered Financial Analyst (CFA) Program — Passed levels 1 and 2 in the respective first attempts

Stackforce found 100+ more professionals with Financial Modeling

Explore similar profiles based on matching skills and experience