1 - 4 years
1 - 4 Lacs
Posted:1 week ago|
Platform:
On-site
Full Time
Responsibilities & Qualifications As a member of this team, you will develop platforms to provide market, Hedge Funds trends and execute portfolio analysis across client portfolios research/implement equity (and FICC) factor models, macro models. You will also gain broad knowledge of the revenue and capital drivers of the physical and synthetic prime brokerage businesses. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Basic Qualifications BS/MS or PhD in a relevant field - Applied Mathematics, Data Science, Engineering, Physics or Finance Excellent verbal and written communication skills to interact with clients and present them detailed analysis. Strong programming skills in Java, Python or equivalent language Ability to work as part of a global team and deliver results quickly Comfortable working on multiple projects, demonstrating initiative and showing commercial impact Preferred Qualifications 1 or more years experience in a quantitative role Good knowledge in portfolio construction techniques, risk model, factor analytics, positioning and flows metrics. Familiarity with Equity/FICC asset class. Familiarity in handling big data sets Familiarity in probability and machine learning techniques A track record of solving quantitative problems and delivering results in a high-pressure environment
Goldman Sachs
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