Senior Consultant - Quantitative Modeler – Commercial Financial Services

Posted 8 Days Ago
Be an Early Applicant
2 Locations
Mid level
Consulting
The Role
The Senior Consultant will build and enhance Model Risk Management policies, manage validations of risk models for banks, and perform assessments using AI/ML frameworks. Additional responsibilities include presenting findings to clients, performing gap analysis, and analyzing clients' data for fair lending compliance.
Summary Generated by Built In

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

  • Build/assess/enhance Model Risk Management (MRM) policies for commercial/regional banks and perform gap analysis.
  • Manage and lead validations of vendor and internally developed bank risk models (such as CECL, Asset/Liability Management) compliant with Model Risk Management policies and procedures, regulatory guidance, and industry leading practices.
  • Present model validation findings to clients and propose appropriate remedial actions.
  • Perform fair lending/banking assessment by analyzing clients’ data, and build. benchmark datasets to evaluate any disparate treatment/impact in clients’ origination, servicing, marketing decisions.
  • Assess AI/ML frameworks and solutions, and perform comparative analysis to evaluate fairness, interpretability, and explainability.
  • Apply race/ethnicity estimation methodologies (BISG) to user level-data to perform evaluation of clients’ data against regulatory expectations.
  • Build relationships within and across multiple segments, aligning conflicting priorities and resolving issues to achieve progress.

What You Will Need:

  • Bachelor’s degree in business, finance, economics, mathematics, data science, statistics, or related field.
  • Minimum 3 years of prior relevant experience.
  • Currently reside in the DMV area or willing to relocate there at own expense.
  • Strong knowledge of regulatory requirements, such as SR 11-7, and industry standards related to Model Risk Management.
  • Proficiency with at least one statistical analytic tool such as R, Python, or SAS and quantitative modeling techniques, statistical analysis, and machine learning methodologies.
  • Ability to apply academic research to econometric and modelling issues and present concise explanations of output.
  • Experience drafting reports on various economic and financial topics for internal and external audiences.
  • Intellectual curiosity and willingness to explore how compliance and risk management impacts banks and non-bank financial institutions.
  • Ability to work with in a team with varying skill and knowledge levels.
  • Strong verbal and written communication skills.
  • Ability to handle multiple tasks under tight deadlines.

What Would Be Nice To Have:

  • Master’s degree.
  • Certifications such as CFA, FRM.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Top Skills

Python
R
SAS
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The Company
HQ: Washington, DC
12,000 Employees
On-site Workplace
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success.

The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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