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Vanguard
Vanguard

Largest company.

Model Validator

직무데이터 사이언스
경력미들급
위치Malvern; London, United Kingdom
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Machine Learning

The Model Risk Management (MRM) Team, part of Vanguard’s second line of defense, is seeking an experienced model risk professional to support independent oversight of quantitative models used across Vanguard’s Investment Management Group (IMG).

Vanguard is a global investment management firm with a mission to give investors the best chance for investment success. Through its Investment Management Group, Vanguard designs, manages, and oversees a broad range of active and passive investment strategies across asset classes, vehicles, and geographies, supporting mutual funds, ETFs, and institutional mandates. These activities rely on quantitative models spanning portfolio construction, risk management, trading, asset allocation, and performance measurement, including an increasing use of advanced analytics and machine learning techniques.

In this role, you will lead the independent validation and challenge of models used within IMG, ensuring they are conceptually sound, well‑governed, and fit for purpose. You will work closely with data scientists, quantitative developers, investment strategists, and technology partners, providing credible challenge while maintaining strong, collaborative relationships with the business.

Beyond individual model reviews, you will help drive the evolution of Vanguard’s model risk management framework, shaping methodologies, standards, and practices that support consistent, enterprise‑wide application of model risk principles across traditional quantitative models and AI/ML‑based solutions. You will also partner with Risk and Control colleagues to influence broader programs and initiatives that strengthen model governance across Vanguard.

This role includes people leadership responsibilities, with accountability for developing and managing a team of model validation professionals.

Core Responsibilities

  • Perform and lead independent validation of investment models across major asset classes covering portfolio construction, signaling, risk management, trading, asset allocation, and performance measurement

  • Provide effective challenge of model assumptions, methodologies, data, implementation, and limitations, with a focus on material risk drivers.

  • Produce high quality validation reports that meet internal standards

  • communicate validation findings clearly to technical and non‑technical stakeholders, including senior investment and risk leaders

  • Develop, maintain and enhance validation procedures to support a consistent, risk-based approach for independent validation and effective challenge of investment management models

  • Contribute to the design and enhancement of model risk management policies, standards, and procedures across the full model lifecycle (inventory, development, validation, approval, and ongoing monitoring).

  • Support the MRM team in advising stakeholders on Model Risk policy and other relevant standards as needed

  • Maintain understanding of industry trends in model validation and provide updates to stakeholder teams to enhance the knowledge and awareness or best practices, and act as an SME

  • Participate in special projects and perform other duties as assigned

Qualifications

  • PhD degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or an equivalent combination of training and experience

  • Minimum of 7 years of relevant experience in model development or model validation

  • Broad knowledge of relevant modeling frameworks and standards is required

  • Strong knowledge of financial products across at least one of the asset classes: equities, fixed income, etc.

  • Experience in the asset management business (sell side or buy side) is required.

  • Familiarity with risk models (counterparty, liquidity, internal capital, market risk) is a plus

  • Knowledge of programming languages including Python and MATLAB

  • Knowledge of technology platforms such as AWS Sage Maker used for model development and deployment, CI/CD is a requirement

  • Experience developing, testing or validating AI/ML models is a plus

  • Excellent communication, negotiation, diplomacy, and presentation skills is a must

  • Broad knowledge of risk management at financial institutions preferred

  • Experience validating third party models and familiarity with third party models and platforms used in asset management (e.g., Aladdin, Axioma, Barra, etc.) preferred

  • Ability to deal effectively with a variety of stakeholder teams

  • Ability to effectively manage multiple and competing priorities of the team and department as well as one’s own priorities and time

  • Exhibits flexibility and excellent judgment

Special Factors Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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Vanguard 소개

Vanguard

Vanguard

Public

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

직원 수

Kelayres

본사 위치

리뷰

10개 리뷰

4.1

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.2

커리어

3.2

경영진

4.3

75%

지인 추천률

장점

Supportive management and leadership

Great work-life balance and flexibility

Strong team collaboration and culture

단점

Low or non-competitive compensation

Limited career advancement and promotions

Heavy workload and long hours

연봉 정보

756개 데이터

Junior/L3

Senior/L5

Staff/L6

Senior

Junior/L3 · Data Scientist

0개 리포트

$142,083

총 연봉

기본급

-

주식

-

보너스

-

$120,000

$164,000

면접 후기

후기 3개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Online Assessment/Case Study

3

Phone Interview

4

Technical Interview

5

Final Round Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Coding/Algorithm