Analytics & Reporting is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group is responsible for reviewing, publishing, explaining, analyzing & communicating the firm's risk & capital metrics.

Risk Engineering is responsible for providing the Chief Risk Officer, senior management, regulators, and other stakeholders with high quality risk information required to keep the firms activities within the defined risk appetite and comply with regulatory requirements. Risk Engineering (1) builds and maintains services to identify risks; (2) accesses internal and external data; (3) develops models; and, (4) leverages services, data and models to compute, review and publish risk deliverables.

More broadly, Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering, as a whole, is responsible for designing, implementing, executing, reviewing, interpreting, explaining and communicating risk & capital metrics used to independently ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital.

Risk Engineering is organized into the following subgroups:

• Analytics & Reporting (A&R)
• Risk Strategists
• Risk Applications Platform & Data (RAPD)
• Risk Architecture

Responsibilities

A&R are responsible for reviewing, publishing, interpreting and communicating the firm's independent and authoritative risk & capital measures, which includes:

• Developing & maintaining engaging approaches to share curated risk insights through interactive dashboard tools.
• 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 metrics continue to operate in line with intent.
• Understanding financial & non-financial risk to evaluate, explain and justify features observed in the Firm's risk data.
• 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
• Providing independent risk & capital metric process consulting for new or existing business activities in the Firm.
• Liaising with groups such as Modelers/Strategists, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in Risk data.
• Coordinating with firm internal governing bodies such as Risk Committees and executive members of the firm
• Interacting with firm external governing bodies such as external regulators and industry bodies

In performing the job function, you will have the following opportunities:

• Work in a dynamic & highly creative teamwork and consensus-orientated environment
• Exposure to industry leading market data, pricing and risk & capital models for all activities the Firm engages in.
• Exposure to challenging quantitative problems such as modeling risks across the firm and advanced approximation techniques for risk measurements.
• Exposure to large volumes of data (a.k.a 'Big Data') and the tools & techniques to interact with, and determine meaningful interpretations of, such data.
• Development of quantitative and programming skills
• Development of economic, financial institution and market knowledge.
• Engagement in critical internal risk management activities, and provision of data to both internal and external clients & Firm governing bodies.
• Opportunities to work with senior members of the Firm and a wide variety of groups across all areas of the Firm.

Qualifications, Skills & Aptitude

Eligible candidates are preferred to have the following skills and aptitude:

• Entrepreneurial, creative, self-motivated and team-orientated
• Excellent written and verbal communication skills.
• Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics or engineering.
• Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis.
• Background in non-financial risk management, including operational (execution and processing, cyber, resilience, third party, etc), compliance and enterprise risk disciplines
• 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.
• 5+ years of industry experience.

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$250000. 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 .

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