Professional Overview
Kartik Sharma is currently positioned as a Quantitative Researcher at Optiver, a leading global electronic market-making firm. He is actively engaged in this role following completion of a three-month internship at Optiver in Amsterdam during mid-2023. His tenure as an intern spanned approximately eight weeks, during which he gained practical, hands-on experience in quantitative research and trading strategies. Subsequently, Kartik transitioned into a full-time or extended role as a Quant Researcher at Optiver as of August 2024.
He is a final-year undergraduate student of Computer Science and Engineering (CSE) at the Indian Institute of Technology Delhi (IIT Delhi), expected graduation year 2024. His academic and professional trajectory focuses on quantitative analysis, algorithmic trading, and data-driven market research, leveraging strong technical skills developed during his university education.
Key Roles and Experiences
- Quantitative Research Internship at Optiver (May 2023 – July 2023):
Completed a competitive internship involving trading research, quantitative modelling, and application of computational finance techniques at Optiver's Amsterdam office. Shared reflections on this experience highlight deep immersion in trading algorithms and market research.
- Quantitative Researcher at Optiver (From August 2024):
Transitioned to a professional quantitative researcher role, signaling progression from internship to a substantial role involving development and deployment of trading strategies.
- Teaching Assistant at IIT Delhi (January 2024 – Present):
Supporting academic activities within IIT Delhi, possibly related to computer science or quantitative subjects, indicating strong command over technical knowledge and mentorship capabilities.
- Trader Role at Optiver (May 2023):
Confirmed trading-related responsibilities during or shortly after his internship, reflecting practical experience in live market environments.
Academic Credentials and Affiliations
- B.Tech in Computer Science and Engineering, IIT Delhi (Class of 2024)
- Active participation in mathematics and computing circles at IIT Delhi, including affiliation with the Mathematics Society, IIT Delhi, a student organization dedicated to mathematics and computing.
Technical and Professional Skills
- Quantitative research methods applicable to electronic market making.
- Programming and algorithm development aligned with quantitative finance.
- Hands-on experience with trading systems and financial modeling.
- Strong analytical skills rooted in rigorous academic training at IIT Delhi.
Professional Network and Recognition
- Kartik's professional profile and updates are publicly documented on LinkedIn ([linkedin.com/in/kartik-sharma-iitd](https://www.linkedin.com/in/kartik-sharma-iitd)), where he maintains regular activity posting about his internship experiences and professional milestones.
- His work and internship at Optiver are recognized by peers and community, with congratulatory comments and community engagement visible on his professional feed.
- Associated with a highly selective global trading firm, Optiver, noted for its innovation in high-frequency trading and market making.
Company Context: Optiver
Optiver is a global electronic market maker specializing in liquidity provision across multiple asset classes. With over 30 years of history, Optiver emphasizes technology-driven trading strategies, quantitative research, and continuous innovation in financial markets. The firm recruits top-tier quantitative talent from leading institutes like IIT Delhi.
Given Kartik Sharma’s internship and current role at Optiver, he is likely actively engaged in developing or refining trading algorithms, market modelling, and technical research to improve Optiver's trading efficiency and profitability.
This profile presents Kartik Sharma as a technically proficient, early-career quantitative researcher embedded in a leading electronic market-making environment, with strong academic credentials and practical trading expertise, making him a valuable contact for engagement in quantitative finance and algorithmic trading-related domains.
