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Associate Quantitative Risk Analyst Jobs in Michigan

Decision Intelligence Analyst

Lansing, MI · On-site

$90K - $120K/yr

Ability to quantify tradeoffs, thresholds, and risk tolerances * Quantitative & Analytical Expertise * Strong SQL proficiency * Experience using Python for advanced analytical analysis * Experience ...

This role supports member trust and regulatory readiness through consistent analysis and clear ... Associate's/Bachelor's degree or equivalent experience * Experience with fraud investigations and ...

Develop independent or program life cycle cost estimates and accompanying risk, uncertainty and ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

Develop independent or program life cycle cost estimates and accompanying risk, uncertainty and ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

Develop independent or program life cycle cost estimates and accompanying risk, uncertainty and ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

Financial Risk Senior Consultant

Detroit, MI · On-site

$115K/yr

Strong analytical, critical thinking, and organizational skills * Enthusiasm for developing ... Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise ...

Showing results 21-40

Associate Quantitative Risk Analyst information

What is an associate quantitative risk analyst?

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?

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 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.

What are popular job titles related to Associate Quantitative Risk Analyst jobs in Michigan?

For Associate Quantitative Risk Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in Michigan look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in Michigan are:

What cities in Michigan are hiring for Associate Quantitative Risk Analyst jobs?

Cities in Michigan with the most Associate Quantitative Risk Analyst job openings:

Infographic showing various Associate Quantitative Risk Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Decision Intelligence Analyst

Lansing, MI • On-site

$90K - $120K/yr

Other

Posted 22 days ago


Job description

Decision Intelligence Analyst

Lansing, MI (Hybrid)

Contract-to-Hire

Salary: $90,000 - $120,000

Our Client is seeking a Senior Decision Analyst with deep experience translating complex business problems into structured, measurable decision models. We need someone who can formally model decisions, quantify tradeoffs, and improve decision quality at scale. The ideal candidate has operated in environments where decisions materially impact financial, operational, or risk outcomes and can move fluidly between business stakeholders and technical partners.

This role would start primarily on-site in Lansing, Michigan, with the ability to work remotely up to 3 days/week after the initial training period. We are targeting candidates with at least 3 years of experience in decision modeling and analysis.

Must have:

  • Strong Decision Modeling & Structuring
    • Experience decomposing complex business processes into explicit decision points
    • Ability to define decision logic, inputs, outputs, constraints, and measurable outcomes
    • Experience modeling decision flows using structured methods (e.g. decision trees, DMN, rule logic, optimization framing, cost-benefit frameworks)
    • Ability to quantify tradeoffs, thresholds, and risk tolerances
  • Quantitative & Analytical Expertise
    • Strong SQL proficiency
    • Experience using Python for advanced analytical analysis
    • Experience performing sensitivity analysis, scenario modeling, and cost-benefit analysis
  • Business Translation & Stakeholder Leadership
    • Experience partnering directly with business leaders to define decision requirements
    • Ability to communicate analytical findings in clear, operational terms
    • Experience influencing process changes based on structured evidence
  • Governance & Risk Awareness
    • Understanding of decision risk, bias, and governance principles
    • Experience documenting decision logic in an auditable and reproducible manner
    • Comfort operating in regulated or compliance-sensitive environments
Nice to have:
  • Familiarity with decision intelligence platforms or formal standards (e.g. DMN)
  • Experience integrating predictive models into operational decision workflows
Equal Employment Opportunity

Eight Eleven Group is an equal opportunity employer. The Company hires, transfers, and promotes on the

basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status,

sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

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