Rishika Rajput — Software Engineer
I am pursuing a B.Tech in Information Technology at IIIT Allahabad, set to graduate in 2025, with a strong foundation in data structures, algorithms, probability, and statistics. My expertise lies in data analysis, financial modelling, and large-scale system optimisation, with proficiency in Python, C++, SQL, and DBT. At Salesforce, I optimised real-time data pipelines, reducing retrieval time by 99.81%, built automated monitoring dashboards, and integrated Einstein GPT for log analysis. At D.E. Shaw, I gained exposure to financial concepts, market data processing, and investment strategy simulations, working on a stock market simulator under industry mentorship. As a Research Consultant at WorldQuant BRAIN, I build and optimise alpha strategies using Fast Expression Language, achieving Gold Level and earning the Quantitative Finance Starter Certificate. I am deeply passionate about quantitative research, alpha generation, and building data-driven trading strategies.
Stackforce AI infers this person is a Fintech-focused quantitative researcher with strong data engineering skills.
Location: Alwar, Rajasthan, India
Experience: 1 yr 7 mos
Skills
- Quantitative Finance
- Backtesting
- Data Engineering
- Log Analysis
- Financial Engineering
- Trading Strategies
Career Highlights
- Optimized data retrieval by 99.81% at Salesforce.
- Achieved Gold Level in WorldQuant Challenge.
- Developed a stock market simulator for portfolio management.
Work Experience
Salesforce
Software Engineer AMTS (11 mos)
WorldQuant
Quantitative Research Consultant (BRAIN) (1 yr 2 mos)
Salesforce
Summer Intern (2 mos)
The D. E. Shaw Group
Apprentice (5 mos)
Education
Information Technology at Indian Institute Of Information Technology Allahabad