The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.
This business is ideal for collaborative individuals who have strong ethics and attention to detail.
Whether assessing the creditworthiness of the firm’s counterparties, monitoring market risks
associated with trading activities, or offering analytical and regulatory compliance support, our work
contributes directly to the firm’s success.
RESPONSIBILITIES
Risk Analytics and Reporting is responsible for reviewing, publishing,
interpreting and communicating the firm’s independent and authoritative risk & capital measures,
which includes:
• Enhancing and managing processes that quantify, review, explain & convey insight for risk &
capital measurements for a large, diverse set of financial products or activities covering the
whole firm. Either on an activity by activity basis or in aggregate. This involves developing
and utilizing tools & signals to assist understanding risk & capital metrics, at varying levels of
aggregation across the firm, in order to discover insight while ensuring liquidity metrics
continue to operate in line with intent
• Understanding financial & non-financial risk by analyzing pricing, risk & capital model outputs
to evaluate, explain and justify features observed in the firm’s liquidity risk data
• Providing independent risk & capital metric process consulting for new or existing business
activities in the firm
• Providing quantitative and qualitative risk analysis, including the use of risk modeling tools to
help estimate the financial risk of the firm’s transactions
• Developing & maintaining engaging approaches to share curated risk insights through
interactive dashboard tools
• Automation engineering to improve control, reduce operational risks & costs and enhance
the firm’s metric timeliness & availability increasing awareness of significant risks
• Testing, developing & integrating new/updated workflows and documentation
SKILLS AND RELEVANT EXPERIENCE
• Master’s Degree in Business, Statistics with an undergraduate focus on business, commerce
or quantitative field such as Mathematics, Physics, or Engineering
• Experience with, or keen interest to develop expertise in, pricing, risk and capital models
• Experience with, or keen interest to develop expertise in, financial markets & economics
• Added advantage if practical knowledge of mathematics and numerical algorithms, including
statistics and time series analysis
• Experience with, or keen interest to develop expertise in, programming skills with various
languages such as Python, HTML, Javascript and/or C++
• Experience with, or keen interest to develop expertise in, development of risk analytics,
interpretation & productivity tools for cultivating insights into risk & capital metric data
• Excellent written and verbal communication skills
• Entrepreneurial, creative, self-motivated and team-orientated
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. We're 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
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
