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 4 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 (8 mos)
WorldQuant
Quantitative Research Consultant (BRAIN) (11 mos)
Salesforce
Summer Intern (2 mos)
The D. E. Shaw Group
Apprentice (5 mos)
Education
Information Technology at Indian Institute Of Information Technology Allahabad