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Head Of Model Risk Management Jobs in Indiana (NOW HIRING)

Guidehouse

Model Validation Lead

Indianapolis, IN

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

Circle

Evaluate emerging blockchain technologies, payment models, and decentralized architectures ... Ability to lead through ambiguity, manage multiple fast-moving priorities, and build durable ...

Centra

VP Risk & Compliance Solutions

Columbus, IN · On-site

$117K - $157K/yr

... Model Risk Management Program, Physical Security Program, and Corporate Insurance coverage. * Serves as management liaison for ERC and ensures timely, accurate sharing of information and board ...

Centra

VP Risk & Compliance Solutions

Columbus, IN

$117K - $157K/yr

... Model Risk Management Program, Physical Security Program, and Corporate Insurance coverage. * Serves as management liaison for ERC and ensures timely, accurate sharing of information and board ...

Miebach

Head of Planning

Fishers, IN · On-site

$170K - $192K/yr

About the role Miebach Consulting is seeking a Head of Supply Chain Planning, North America, to ... Business Development & Client Relationship Management * Develop and maintain strong relationships ...

Elanco

Head of Business Development

Indianapolis, IN · Hybrid

Head of Business Development As the Head of Business Development, you will be accountable for the ... Strategic dealstructuringand executive stakeholder management. What will give you a competitive ...

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Head Of Model Risk Management information

What are the key skills and qualifications needed to thrive as a Head Of Model Risk Management, and why are they important?

To thrive as a Head Of Model Risk Management, you need deep quantitative expertise, advanced knowledge of risk management frameworks, and a strong background in finance or mathematics, often supported by advanced degrees such as a PhD or MSc. Familiarity with statistical software (like Python, R, or SAS), model validation tools, and regulatory compliance systems is typically required. Exceptional leadership, communication, and critical thinking skills are essential for effectively managing teams and presenting complex risk issues to stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and sound decision-making within financial institutions.

What is the difference between Head Of Model Risk Management vs Model Validation Manager?

AspectHead Of Model Risk ManagementModel Validation Manager
Primary FocusOversees overall model risk framework, governance, and strategyConducts independent validation and testing of models
ResponsibilitiesRisk oversight, policy development, senior stakeholder communicationModel testing, performance assessment, validation reports
CredentialsAdvanced degrees, certifications like FRM, CFA, or CAMS, experience in risk managementQuantitative background, certifications like CFA, FRM, strong modeling expertise
Work EnvironmentStrategic, leadership role within risk management teamsTechnical, analytical role focused on model validation tasks

The Head Of Model Risk Management oversees the entire model risk framework, focusing on strategy and governance, while the Model Validation Manager specializes in testing and validating individual models. Both roles require strong quantitative skills and relevant certifications, but differ in scope and responsibilities.

What are the main challenges faced by a Head of Model Risk Management in maintaining regulatory compliance?

A Head of Model Risk Management often faces the challenge of keeping up with evolving regulatory expectations and ensuring that all models used within the organization are compliant. This involves constantly monitoring regulatory updates, coordinating with various departments to implement necessary changes, and maintaining detailed documentation for audit purposes. Additionally, the role requires balancing the need for innovation in modeling techniques with the necessity of robust risk controls and transparent validation processes. Regular communication with risk, compliance, and audit teams is essential to address these challenges effectively.

What does a Head of Model Risk Management do?

A Head of Model Risk Management oversees the processes and teams responsible for identifying, assessing, and mitigating risks associated with financial and predictive models used within an organization. This role involves establishing and maintaining model risk frameworks, ensuring regulatory compliance, and leading model validation activities. They also coordinate with other departments to ensure the effective management and governance of all models, providing guidance on best practices and emerging risks. Ultimately, their goal is to minimize model-related losses and support sound decision-making across the business.
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Head Of Model Risk Management 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 yesterday

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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