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Director Model Risk Governance Jobs in Indiana (NOW HIRING)

Guidehouse

Model Validation Lead

Indianapolis, IN

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Guidehouse

Model Validation Lead

Indianapolis, IN

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Deckers

... risk posture, and compliance obligations * Establish and operate governance structures that support ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

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Director Model Risk Governance information

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
What are the most commonly searched types of Model Risk Governance jobs in Indiana? The most popular types of Model Risk Governance jobs in Indiana are:
What job categories do people searching Director Model Risk Governance jobs in Indiana look for? The top searched job categories for Director Model Risk Governance jobs in Indiana are:
What cities in Indiana are hiring for Director Model Risk Governance jobs? Cities in Indiana with the most Director Model Risk Governance job openings:
Director Model Risk Governance jobs near you
Senior Model Risk Analyst

Senior Model Risk Analyst

Federal Home Loan Bank of Indianapolis

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Is it a Bank? A cooperative? A leader in affordable housing? We are all those things and more!
Our core mission at FHLBank Indianapolis is to provide reliable and readily available liquidity to our member institutions to support housing finance and community development. Simply put, we're a bank for banks, credit unions, community development financial institutions and insurers across Indiana and Michigan. We also assist in meeting the economic and housing needs of communities and families through grants and subsidized advances that support affordable housing and economic development.
But enough about us, let's talk about you.
Are you looking for a company that views their employees as their greatest asset?
A company that's dedicated to making a difference in the community? So much so they pay their employees to volunteer?
Do you want to join a talented workforce that prioritizes equal opportunity within an inclusive culture, and promotes learning and development, unique skills/ideas, and employee engagement?
If you've said yes to these questions, then we might be a match!
Here is what we offer:
  • Flexible hybrid workforce model: Onsite three days a week and two days remote. We also offer remote flex days!
  • Fantastic, competitive pay and total rewards
  • Industry-high 401(k) match: up to 6% PLUS...an additional 4% contribution!
  • Tuition reimbursement assistance: To help you continue to develop personally and professionally.
  • Student loan repayment assistance: That's right, we will help you repay outstanding student loans!
  • Awesome Benefits Package: Medical, dental, vision benefits and even pet (you read that right) insurance!
  • Generous time off: Vacation, paid federal holidays, birthday month floating holiday, volunteer day and summer hours program
  • "Dress for your day" dress code: You choose the appropriate work attire based on what your day looks like.

Statistics show that it is less likely for some candidates to submit their application if they don't meet all the criteria within the job description. If this is you, we encourage you to give yourself a chance and submit your application anyway, as you may be the perfect match for this role!
Purpose:
The Senior Model Risk Analyst will play a key role in assessing the Bank's model risk through model validations, risk reviews, and ongoing analysis. As a member of Enterprise Risk Management (ERM), the Analyst will work under the Senior Manager, Model Risk or Director of Model Risk Management and Validation to validate financial models throughout the Bank in order to assess model reasonableness, weaknesses, and risks. The Analyst will interact with model owners and model users across the Bank to understand current model performance, development activities, and emerging risks.
The following statements are intended to describe the general nature and level of work being performed by persons assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required of persons so classified. The Bank reserves the right to alter or amend this description at any time.
Specific Responsibilities:
  • Participate in model validations for various types of financial models, including credit risk, interest rate derivative valuation, mortgage prepayment/default, and asset-liability management models. This will include performing quantitative analyses and tests, assessing model theory, backtesting, benchmarking, stress testing, scenario analysis, and assessing the effectiveness and sufficiency of model controls and documentation.
  • Generate validation reports or memos detailing the validation approach, analyses conducted, and the conclusion of the validation. Present findings and recommendations to model owners/users.
  • Review model changes, assess model change significance, and conduct limited-scope validations for model changes as necessary.
  • Participate in the development of benchmarking models and data analytical tools, including machine learning models for validation and model performance monitoring purposes.
  • Provide independent opinions on various modeling and model validation issues.
  • Assist in third-party model validation.
  • Participate in audit and regulatory exams and assist in the remediation of audit and regulatory exam findings.
  • Perform annual and ad-hoc model reviews and quarterly model performance reviews.
  • Assist in other model risk management activities, such as maintaining the Bank's model inventory, tracking outstanding model validation findings, and generating periodic model risk related reports to relevant committees and stakeholders.
  • Conduct research and analysis to maintain knowledge of modeling best practices, model validation techniques, and current financial market information.

Competencies:
Business
  • Project Management

General
  • Dependability
  • Productivity

People
  • Accountability and Drive for Results
  • Collaboration and Communication

Position Requirements:
  • Advanced degree with a concentration in Computational/Quantitative Finance, Statistics, Mathematics, Computer Science, Economics, or some other quantitative discipline. Ph.D. desirable.
  • At least one year of experience working in a related field, such as model risk management, predictive modeling, financial modeling, optimization, and data science, is required.
  • Understanding of financial market concepts and fixed-income instruments, including mortgages and MBS, interest rate derivatives, fixed-income analytics and risk metrics, prepayment forecasts, interest rate modeling, probability of default and credit loss modeling, and stress testing.
  • Understanding of stochastic processes, time series analysis, principal component analysis, optimization, logistic regression, and Monte Carlo simulation.
  • Proficiency with at least one of the programming languages, such as Python, R, Julia, or MATLAB, is required. Python is the preferred programming language.
  • Hands-on experience with machine learning/artificial intelligence models is highly desirable.
  • Hands-on experience with valuation tools/libraries, such as PolyPaths, QRM, Calypso, Yieldbook, FINCAD, and Numerix, is desirable.
  • Must have a high level of proficiency with Microsoft Office applications (Excel, Word, PowerPoint, Outlook). Experience with Power BI is highly desirable.
  • Strong written and oral communication skills required. Ability to write clear technical reports and memos. Must be able to communicate and maintain relationships with model owners/users and other stakeholders, and interact effectively with management.
  • Must be able to think critically and independently, highly self-motivated, and able to multitask and manage competing priorities.
  • Understanding of current regulatory guidance on model risk management, including FHFA's AB 2013-07 and AB 2022-03, OCC Bulletin 2011-12, or FRB SR 11-17, desirable.
  • Ability to model and uphold the Bank's Guiding Principles.
  • Ability to work full-time.

Hiring Range: $93,000 - $110,000
Hiring ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.
FHLBank Indianapolis is an Equal Opportunity Employer.

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