Risk Engineering - Analytics & Reporting - Analyst - New York
Goldman Sachs
Application
Details
Posted: 19-Jun-24
Location: New York, New York
Type: Full-time
Internal Number: 20945343
We are currently seeking candidates for Market Risk Capital - Risk Engineering in New York.
Risk Engineering ("RE"), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including New York, Dallas, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. The Market Risk Capital group in RE is a multidisciplinary group of quantitative and analytics experts focusing on market risk and capital measures. The group is primarily responsible for reviewing, publishing, interpreting, and communicating the firm's independent and authoritative risk and capital measures, with additional responsibilities in developing, implementing, and maintaining a range of models and quantitative tools.
The responsibilities will include:
Understand financial risk by analyzing pricing, risk and capital model outputs to evaluate, explain and justify features observed in the firm's market risk data
Enhance and manage processes that quantify, review, explain and convey insight for risk and capital measures for a large, diverse set of financial products or activities across the firm. This involves developing and maintaining models and tools to understand risk & capital metrics at varying levels of aggregation across the firm
Provide quantitative and qualitative risk analysis, to estimate financial risk of the firm's transactions
Streamline and automate risk analysis and reporting to enhance the firm's metric accuracy, timeliness, and availability for stakeholders within and outside of the Risk Division
Develop, test, and integrate new/enhanced workflows and write/maintain corresponding documentation
Perform anomaly detection on large data sets, investigate root cause, and recommend corrective actions
Liaise with groups such as Engineers, Controllers, and Business to understand and explain observations in risk data
Build and maintain a comprehensive set of reports and presentations for market risk capital for reporting to regulators, internal risk committees and senior leadership across Risk, Controllers, and the Business
Communicate complex ideas with internal/external stakeholders such as risk managers, market making businesses, technology, and senior management.
WHAT WE LOOK FOR
The role is ideal for collaborative individuals who have sound technical skills, financial risk acumen, strong ethics, and attention to detail. Whether market risks associated with trading activities or offering analytical insights and engaging with the firm's regulators, the role gives you a holistic experience of being a risk management professional.
OPPORTUNITIES
In performing the job function, you will have the following opportunities:
Exposure to industry leading market data, pricing, risk & capital models for all activities that the firm engages in across divisions
Development of quantitative and programming skills as well as product and market knowledge
Exposure to challenging quantitative problems such as modeling risks for complex financial products and advanced analysis/approximation techniques for risk measurement
Exposure to large volumes of data and the tools & techniques to interact with, and make meaningful interpretations from such data
Engagements in critical internal risk management activities, and report risk metrics/analysis to both internal and external governing bodies
Work in a dynamic and highly creative team construct and consensus-orientated environment
Opportunities to collaborate with senior members of the firm and a wide variety of groups across all areas of the firm
SKILLS AND RELEVANT EXPERIENCE
Preferred Master's Degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering
Deep knowledge in statistical modeling, such as regression, time series analysis, machine learning etc.
Strong programming skills and experience with languages, such as C++, Python, R, Matlab
Familiar with options and derivatives pricing theories
Experience with, or keen interest to develop expertise in risk, and capital models
Experience with, or keen interest to develop expertise in financial markets & economics
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 are committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has 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 are committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Salary Range The expected base salary for this New York, New York, United States-based position is $110000-$130000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .
