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Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Model Risk Management, AI Risk, NY, Vice President

직무데이터 사이언스
경력VP급
위치New York, United States
근무오피스 출근
고용정규직
게시2개월 전
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필수 스킬

Project Management

DEPARTMENT OVERVIEW

The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore, and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Model Control Policy and related requirements, including documentation to evidence effective challenge over the Model development, implementation and usage of Models.

The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. As AI adoption increases across the firm, the MRM group plays a critical role in ensuring that innovative AI capabilities are deployed safely.

JOB RESPONSIBILITIES

Play a central role in shaping firmwide AI risk management oversight and governance through:

  • Management of the AI oversight committee including agenda-setting, materials, and executive-level decision support
  • Managing the AI risk assessment and approval activities across control functions, working closely with the business and engineers to guide them through the approval process
  • Owning the firmwide view of AI usage, enabling senior leadership to understand risk posture, trends, and emerging concentrations including through management of the firmwide AI inventory, and tracking and reporting on committee activities, approvals, and follow-ups
  • Design, maintain, and evolve the firmwide AI governance framework, liaising with other business units such as Legal, Compliance, and Engineering to translate regulatory expectations and emerging industry standards into practical, scalable controls
  • Liaise with technology teams to design scalable infrastructure for AI inventory management and AI risk assessment and approval workflows
  • Manage and coordinate engagement with regulators, helping shape external understanding of the firm’s risk management approach

QUALIFICATIONS

  • 5 plus years of experience, preferably in Financial Services and with working knowledge of AI
  • Excellent project management and communication skills, with ability to work and communicate effectively with a wide variety of technical and non-technical stakeholders across various seniority levels
  • Excellent analytical, quantitative, interpersonal and organizational skills. Team oriented and able to pick up technical concepts quickly
  • Comfort operating in areas of evolving regulation and limited precedent, with the ability to exercise sound judgment
  • Programming skills preferred (e.g., Python)

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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Salary Range

The expected base salary for this New York, New York, United States-based position is $130000-$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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Goldman Sachs 소개

Goldman Sachs

The Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.

45,000+

직원 수

Lower Manhattan

본사 위치

$80B

기업 가치

리뷰

2개 리뷰

2.9

2개 리뷰

워라밸

2.5

보상

3.0

문화

2.0

커리어

4.0

경영진

2.5

45%

지인 추천률

장점

Amazing career growth opportunities

Chill management at some locations

Work-life balance valued in certain roles

단점

Toxic workplace culture

Codependent atmosphere

Confusing interview process

연봉 정보

20,304개 데이터

Junior/L3

VP

Junior/L3 · Data Scientist Analyst

0개 리포트

$146,500

총 연봉

기본급

-

주식

-

보너스

-

$124,525

$168,475

면접 후기

후기 4개

난이도

3.5

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Application Review

2

HR Screen/HireVue

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Decision

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study