Abhishek Singhal, CFA β Associate Consultant
As a quantitative researcher, my focus lies in leveraging mathematical and statistical methods to analyze and understand complex financial markets and investment strategies. I have extensive experience in designing and implementing quantitative trading models, conducting research to identify new investment opportunities, and developing risk management systems to optimize portfolio performance. With a background in mathematics and finance, I am skilled in programming languages such as Python and R and have in-depth knowledge of various financial data sources and tools. I have a deep understanding of various financial concepts, including portfolio optimization, option pricing, and time-series analysis, and I regularly apply this knowledge to real-world problems. I am a critical thinker who is not afraid to challenge conventional wisdom and explore new ideas, and I am committed to staying at the forefront of industry developments. I am passionate about using data and technology to drive better investment decisions and make a positive impact on the financial industry. Key Highlights: π Quantitative Expertise: Proficient in developing and implementing quantitative models for options trading, contributing to the success of diverse trading strategies. π‘ Innovation: Constantly exploring innovative approaches to risk management, volatility analysis, and algorithmic trading to stay ahead in the ever-evolving financial landscape. π Collaboration: Collaborating with a talented team of traders and analysts to identify opportunities, mitigate risks, and maximize portfolio performance. Why I Love What I Do: π Market Enthusiast: Thriving in the fast-paced world of financial markets, where every day presents a new challenge and opportunity. π€ Tech-Driven Passion: Combining my passion for finance with cutting-edge technology to create quant-driven solutions that drive success in the derivatives market. Let's Connect: π Open to connecting with fellow finance enthusiasts, quant professionals, and anyone passionate about the exciting intersection of finance and technology. Ready to discuss options trading, quantitative finance, or just connect over a virtual coffee. Let's navigate the financial markets together! βπ
Stackforce AI infers this person is a Fintech professional specializing in quantitative trading and data-driven investment strategies.
Location: Mumbai, Maharashtra, India
Experience: 6 yrs 9 mos
Skills
- Algorithmic Trading
- Option Strategies
- Machine Learning
- Data Analysis
- Financial Analysis
Career Highlights
- Expert in quantitative trading and risk management.
- Proficient in Python and algorithmic trading strategies.
- Passionate about leveraging data for investment decisions.
Work Experience
JPMorganChase
Senior Associate (1 yr 8 mos)
Edelweiss Global Markets
Assistant Vice President (2 yrs 3 mos)
Associate (5 mos)
Dolat Capital Market Private Ltd.
Quant Researcher (HFT) (9 mos)
Barclays Investment Bank
Graduate Analyst (8 mos)
Quantify Capital
Dedicated Python Expert/Tutor (4 mos)
Internship Mentor (2 mos)
Quant Research Associate (6 mos)
Indian Institute of Technology, Bombay
Teaching Assistant (1 yr)
Hiroshima University
Special Auditing Student (0 mo)
Aalborg University
Research Intern (2 mos)
Rakshak IIT Bombay
Junior Design Engineer (5 mos)
University of Indonesia
Cultural Exchange Student (1 mo)
Legistify.com
Operation Manager (2 mos)
Education
Dual Degree (B-Tech + M-Tech) at Indian Institute of Technology, Bombay
Minor Degree at Indian Institute of Technology, Bombay
Exchange Semester at National University of Singapore
10 + 2 at Jaspal Kaur Public School