Manas Baviskar — Associate Consultant
A Financial Engineering graduate from UCLA Anderson School of Management, specializing in quantitative finance, asset management, and market microstructure. With hands-on experience at Quantifi, where he worked on FX Convertible Bonds valuation and model calibration, and at AMINA Bank AG, where he developed multi-factor strategies and portfolio management system, Manas combines strong financial expertise with advanced technical skills. Proficient in Python, C++/C#, R, SQL, Kdb, and machine learning, Manas also has a solid foundation in econometrics, time-series modeling, and optimization. With 3+ years of trading experience in the Indian equity and options markets, he is passionate about using data science and AI to drive innovation in quantitative research and trading strategies.
Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and algorithmic trading expertise.
Location: New York City, New York, United States
Experience: 2 yrs 3 mos
Skills
- Quantitative Analysis
- Market Making
- Valuation
- Portfolio Management
- Statistical Arbitrage
Career Highlights
- Expert in quantitative finance and asset management.
- Proficient in advanced programming languages and machine learning.
- Hands-on experience in FX valuation and portfolio optimization.
Work Experience
Crédit Agricole CIB
Quantitative Analyst (Front Office) (1 yr 3 mos)
Quantifi, Inc.
Quantitative Analyst (3 mos)
AMINA Bank
Quantitative Researcher Developer (9 mos)
ESOC - Economics Society VIT Pune
Data Science and Machine Learning Team (1 yr)
Education
Master's degree at UCLA Anderson School of Management
Bachelor of Technology - BTech at Vishwakarma Institute Of Technology
Executive Program in Algorithmic Trading at QuantInsti
Micromasters in Finance at MITx Courses
Masters at UCLA
Master's degree at UCLA Anderson School of Management
