Ananya Singhal — AI Researcher
I am a mathematician with over a year of hands-on experience as a quantitative researcher, specializing in high-frequency trading strategies and stochastic processes. My background includes developing and implementing advanced probability, statistics, and optimization theories, which are crucial for quantitative analysis. With a proven track record in high-frequency trading environments, I have honed my skills in applying stochastic models to real-world financial data. I am adept at leveraging my technical expertise to drive data-driven insights and solutions. Quick to adapt and eager to tackle new challenges, I thrive both independently and within collaborative teams, continuously seeking opportunities to deepen my knowledge and contribute to innovative research.
Stackforce AI infers this person is a Fintech Quantitative Researcher with expertise in trading strategies and data analysis.
Location: Mumbai, Maharashtra, India
Experience: 3 yrs 1 mo
Career Highlights
- Expert in high-frequency trading strategies.
- Proficient in stochastic modeling and quantitative analysis.
- Strong background in optimization theories and data-driven insights.
Work Experience
JPMorganChase
Quant Research Associate (6 mos)
Open Futures Group
Quantitative Researcher (2 yrs 2 mos)
Intern (5 mos)
Indian Institute of Technology, Bombay
A novel distributed algorithm for non-convex optimization (Master's Thesis) (5 mos)
Education
Int. M.Sc. Mathematics at Centre for Excellence in Basic Sciences
Class XII (CBSE) at Arihant Public School, Kota
Up till Class X (CBSE) at Mayo College, Ajmer