Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Oil & Gas Jobs |
Banking Jobs |
Construction Jobs |
Top Management Jobs |
IT - Software Jobs |
Medical Healthcare Jobs |
Purchase / Logistics Jobs |
Sales |
Ajax Jobs |
Designing Jobs |
ASP .NET Jobs |
Java Jobs |
MySQL Jobs |
Sap hr Jobs |
Software Testing Jobs |
Html Jobs |
Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Sales / BD |
EmploymentType | Full-time |
Quantitative Engineer - Risk - Market Risk Strats - Associate - BengaluruLocation(s) IN-KA-BengaluruJob ID 2021-79332 Schedule Type Full Time Function(s) Quantitative Engineer, Risk Management Region India Division Risk Business Unit Risk Engineering Employment Type Employee MORE ABOUT THIS JOB GSRisk Strats is a team of engineers to transform the risk and data services at Goldman Sachs by creating cutting-edge risk and data architecture, models, analytics, data visualization and trading tools, for our external and internal clients. To be successful in the role you will need to have an in-depth understanding of financial products, markets, risk management and pricing of a wide range of products, models and asset classes offered by the firm. The GSRisk Strats team cuts across all verticals of the firm and has a direct impact to the firm s bottom line. RESPONSIBILITIES AND QUALIFICATIONS Responsibilities (varies by role)Design and implement models to risk manage complex financial products Build low latency, highly-scalable software and systems for pricing, risk models, quoting and analytics Work on large datasets to extract useful insights on firm s risks Partner with the trading desk to develop and implement quantitative, technological solutions as global market and economic conditions change Collaborate efficiently within a diverse global team spanning multiple continents Increase client market share via innovative tools and data analytics Work in a fast-paced, high-pressure environment as a self-starter Client focus: think of APIs as a service and provide internal and external users with outstanding SLAsBasic QualificationsBachelors Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering Knowledge about popular design patterns and algorithms Excellent programming skills in a major programming language Efficient and effective communication skills Strong quantitative and analytical skills In-depth knowledge of analytics, trading environment and risk management of at least one financial asset class Competence in statistics and linear algebraPreferred QualificationsCompetence in data science, stochastic processes, and advanced mathematics Experience working with large data sets and real-time systems Knowledge of more than one financial asset class ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .We re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https:// www.goldmansachs.com/careers/footer/disability-statement.html OptionsApplyApplyEmail a FriendEmail a Friend,
Keyskills :
market risklow latencyrisk modelsdata sciencetrading deskmarket sharedata servicesrisk managementdesign patternscomputer sciencerisk engineeringdata architecture