Quantitative Analytics Manager - Credit Scoring Model Validation at Wells Fargo
Charlotte, NC 28202, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Oct, 25

Salary

0.0

Posted On

13 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Training, Computer Science, Mathematics, Communication Skills, Physics, Performance Metrics, Optimization, Credit Scoring, Statistics, Economics, Modeling, Model Validation, Regulatory Requirements, Model Development

Industry

Financial Services

Description

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

  • 4+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of leadership experience
  • Master’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer scienc

Desired Qualifications:

  • Previous model development or validation experiences in credit scoring and loss forecasting.
  • Knowledge of regulatory requirements: SR 11-7, industry standards on model validation, model governance, extensive expertise and keen insight on the model risk management process and future directions, expertise in defining model performance metrics and risk reduction techniques.
  • Master’s degree or higher in statistics, economics, computer science, optimization, mathematics, or a related quantitative discipline.
  • A wide knowledge of modeling techniques and uses; in-depth knowledge of AI and ML methodologies.
  • In-depth knowledge of credit scoring and loss forecasting models.
  • Strong computing and programming background and knowledge of one or more languages such as Python.
  • Experience with AI/ML computing platforms and tools.
  • Excellent oral, written, and interpersonal communication skills, with an ability to communicate effectively to audiences of varying technical maturity
Responsibilities

Wells Fargo’s Model Risk Management (MRM) organization is seeking a Quantitative Analytics Manager to join its Decision Science and Artificial Intelligence (DSAI) Group to support model risk management for Credit Scoring Model Validation . The responsibilities of the DSAI Group include an end-to-end responsibility of managing the model risk over the model lifecycle including risk tiering, validation, and performance monitoring, etc. In this specific position, the manager shall focus on models built in house and by third parties primarily for the purpose of Commercial Credit Scoring, Credit Loss Estimate, and Home Lending Credit Scoring models.
This highly visible position requires strong risk management and technical expertise, along with the ability to build strategic partnerships across the enterprise. Effective communication with technical staff, senior management, auditors, and regulators is crucial. The role operates in a fast-paced environment, necessitating multitasking and meeting strict deadlines to ensure policy adherence and effective model risk management. The team operates in a fast-paced environment and the ability to multi-task and meet strict timelines is critical to ensure policy adherence and effective model risk management.

In this role, you will:

  • Manage a team of highly experienced model risk professionals and deliver on the team’s book of work.
  • Be responsible for end-to-end model risk management, including model identification, model risk ranking, validation, performance monitoring, model change management, model use and governance for a suite of models covering commercial credit scoring models, credit loss estimate models, and home lending credit scoring models.
  • Examine and disseminate best practices across validation teams to drive continuous improvement in model validation quality, processes, procedures, validation libraries, technical infrastructure, standards, and automation.
  • Proactively identify efficiency opportunities and execute strategic initiatives in collaboration with peer teams.
  • Formulate structures, processes and training to help validation team members transition from a validation centric role to a model risk management centric function.
  • Stakeholder management: engage both internal (developers, risk managers, auditors) and external (regulators) stakeholders to communicate model risk management process and standards.
  • Identify and work to reduce model risk according to Bank’s model risk policies and standards.
  • Proactively manage talent within the team and contribute to managing the broader talent landscape of quantitative roles across the bank.
  • Bring thought leadership to the MRM group and to the broader quant community in the bank.

Required Qualifications:

  • 4+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of leadership experience
  • Master’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science

Desired Qualifications:

  • Previous model development or validation experiences in credit scoring and loss forecasting.
  • Knowledge of regulatory requirements: SR 11-7, industry standards on model validation, model governance, extensive expertise and keen insight on the model risk management process and future directions, expertise in defining model performance metrics and risk reduction techniques.
  • Master’s degree or higher in statistics, economics, computer science, optimization, mathematics, or a related quantitative discipline.
  • A wide knowledge of modeling techniques and uses; in-depth knowledge of AI and ML methodologies.
  • In-depth knowledge of credit scoring and loss forecasting models.
  • Strong computing and programming background and knowledge of one or more languages such as Python.
  • Experience with AI/ML computing platforms and tools.
  • Excellent oral, written, and interpersonal communication skills, with an ability to communicate effectively to audiences of varying technical maturity.

Job Expectations:

  • Ability to travel up 5-10% of the time.
  • This position offers a hybrid work schedule.
  • Willingness to work onsite at stated location on the job posting.

Job Location:

  • Three Wells Fargo Center, 401 S Tryon St, CHARLOTTE, NC
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