Mohd Umam — Business Analyst
Goldman Sachs fosters a data-driven approach to financial analysis, where our team applies statistical analysis to optimize trading strategies and risk management. In this role, contributions include leveraging quantitative insights to support key decision-making processes. Graduated from IIT Kanpur with a BTech in Computer Science, building a strong foundation in statistical analysis and problem-solving. Past experiences in internships and volunteering reflect a commitment to sustainability and excellence in analytical roles. Dedicated to enhancing financial models and driving impactful outcomes.
Stackforce AI infers this person is a Quantitative Analyst with a focus on financial data analysis and algorithmic trading.
Location: Varanasi, Uttar Pradesh, India
Experience: 4 yrs 3 mos
Skills
- Quantitative Analytics
- Statistical Data Analysis
- Algorithmic Trading
- Web Development
- Data Engineering
- Apache Kafka
Career Highlights
- Strong foundation in statistical analysis and problem-solving.
- Experience in optimizing trading strategies at Goldman Sachs.
- Commitment to sustainability through volunteer work.
Work Experience
Goldman Sachs
Quantitative Analyst (1 yr 11 mos)
Sustainability Cell IIT Kanpur
Volunteer (8 mos)
Goldman Sachs
Summer Analyst (2 mos)
Coding Jr
Product Manager (2 mos)
Loopout
Data Engineer (1 mo)
ERA IITK
Head of Web Team (7 mos)
Counselling Service, IIT Kanpur
Student Guide (1 yr)
Academic Mentor (1 yr)
Udghosh, IIT Kanpur
Senior Executive, Web (8 mos)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Kanpur