Sr. Quantitative Modeling & Research Analyst - Hybrid

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 diversity, equity and inclusion, 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 five fully remote weeks per year!

• 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 Sr. Quantitative Modeling and Research Analyst is responsible for the development and maintenance of various financial models used across the organization. The role resides in the Modeling & Analytics Group (M&A) within the Enterprise Risk Management (ERM) department. Through these responsibilities, the M&A Group works closely with several lines of business, as well as with Information Technology, Model Risk Management, and Internal Audit.

The following statements are intended to describe the general nature and level of work being performed by people assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required. The Bank reserves the right to alter or amend this description at any time.

Specific Responsibilities:

• Implements, tests, and operates a diverse range of models for loan valuation, pledged collateral hair-cut, probability of default, loss estimation, etc.

• Utilizes modeling, statistical, and computational techniques to test, evaluate, and calibrate/tune various credit and market risk models, as well as to set data analytics complementary to model use.

• Establishes and maintains model documentation for theory, settings, assumptions, change control, model performance monitoring, and model use guides in coordination with the Model Risk Management Group, as well as the Regulatory Advisory Bulletins.

• Explains model details, theory, assumptions, and settings to Model Users and others across the organization.

• Supports model validation requests and resolves model validation findings or recommendations.

• Interacts directly with Model Validators and Regulators with regard to model settings, assumptions, implementation, etc.

• Leads the process to develop required model enhancements.

• Stays current on methodologies, statistical, mathematical, analytical, and computational techniques related to model management and development.

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Competencies:

Business

• Analytics Knowledge

• Research Knowledge