Anjali Thawait — AI Researcher
An experienced Quantitative Researcher with a focus on developing innovative machine learning models tailored for financial markets and digital assets, combining deep analytical expertise with creative problem-solving to uncover actionable insights. Proficient in analyzing extensive structured and unstructured datasets, I excel in identifying trends and patterns crucial for informed decision-making. My expertise spans Strategy Building, Risk Management, and Asset Management, complemented by an understanding for generating alpha ideas, conducting rigorous backtesting, and implementing innovative solutions. Proficient in Python, R, C++, and SQL, I leverage a diverse skill set to drive impactful outcomes. My interests lie in exploring the applications of Machine Learning and Deep Learning alongside avidly consuming technical and financial literature.
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and machine learning applications.
Location: Cambridge, England, United Kingdom
Experience: 3 yrs
Skills
- Quantitative Research
- Machine Learning
- Risk Management
Career Highlights
- Expert in developing machine learning models for financial markets.
- Proficient in analyzing structured and unstructured datasets.
- Strong background in quantitative research and risk management.
Work Experience
State Street Global Advisors
Quantitative Researcher - Senior Associate (2 yrs 7 mos)
Senior Quantitative Researcher (2 yrs 7 mos)
Acsys Investments Pvt. Ltd.
Quantitative Research Analyst (5 mos)
Education
Master at University of Cambridge
Master of Technology - MTech at Indian Institute of Technology, Bhilai
Bachelor of Engineering (B.E.) at Chhattisgarh Swami Vivekanand Technical University (CSVTU)
