Anuj Pilania — Associate Consultant
I am a dedicated finance professional with a robust foundation in Financial Engineering from IIT Kharagpur and a Level 2 Chartered Financial Analyst (CFA) certification. With over a year of hands-on experience in high-frequency trading (HFT) at Dolat Capital, I specialize in leveraging cutting-edge algorithms and low latency infrastructure to drive optimal trading outcomes. My skill set includes advanced proficiency in financial modeling, algorithmic trading, risk management, Quantitative analysis, derivative pricing honed through my experience in high-frequency trading (HFT) and diverse internships in Finance Sector. My passion lies in the core domains of finance, where I continually seek avenues to apply my theoretical knowledge into tangible, real-world impact. I believe in agile learning and am committed to lifelong learning and professional development. Eager to contribute my expertise and drive innovation within the dynamic landscape of the financial services industry.
Stackforce AI infers this person is a Fintech professional with expertise in algorithmic trading and quantitative analysis.
Location: Mumbai, Maharashtra, India
Experience: 1 yr 4 mos
Skills
- Algorithmic Trading
- Quantitative Finance
Career Highlights
- CFA Level 2 certified finance professional.
- Specializes in algorithmic trading and quantitative finance.
- Passionate about applying finance theories to real-world scenarios.
Work Experience
Dolat Capital
Quantitative Analyst (1 yr 4 mos)
AKAnomics Inc
Financial Analyst (2 mos)
Indian School of Business
Research Internship (8 mos)
Education
B.Tech + M.Tech Dual degree at Indian Institute of Technology, Kharagpur