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Associate Quantitative Risk Analyst Jobs in Indiana

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Risk Manager (FRM) Certification from GARP or pursuit thereof Northwest is an equal opportunity ...

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Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Indiana? The most popular types of Quantitative Risk Analyst jobs in Indiana are:
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Infographic showing various Associate Quantitative Risk Analyst job openings in Indiana as of June 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Senior Model Risk Analyst

Full-time

Medical, Dental, Vision, Retirement

Posted 4 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.