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Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Model Risk Management, AI Risk, NY, Vice President

职能数据科学
级别VP级
地点New York, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

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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关于Goldman Sachs

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+

员工数

Lower Manhattan

总部位置

$80B

企业估值

评价

2条评价

2.9

2条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.0

职业发展

4.0

管理层

2.5

45%

推荐率

优点

Amazing career growth opportunities

Chill management at some locations

Work-life balance valued in certain roles

缺点

Toxic workplace culture

Codependent atmosphere

Confusing interview process

薪资范围

20,304个数据点

Junior/L3

VP

Junior/L3 · Data Scientist Analyst

0份报告

$146,500

年薪总额

基本工资

-

股票

-

奖金

-

$124,525

$168,475

面试评价

4条评价

难度

3.5

/ 5

时长

21-35周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

HR Screen/HireVue

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Decision

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study