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Credit Risk Data Science Jobs in Missouri (NOW HIRING)

Kansas City Life Insurance

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Securities Analyst - Credit Risk Management

Kansas City, MO · On-site

QUALIFICATIONS/REQUIREMENTS: * BS/BA in Finance, Data Science, or related field (MBA or MS in ... Apply detailed financial analyses to measure credit risk of existing positions at both the issuer ...

US Bank

Credit Policy Manager

Saint Louis, MO · On-site

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our ...

US Bank

Impact Finance Officer

Saint Louis, MO · On-site

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

Nestle

Expert Data Scientist

Saint Louis, MO

$130K - $188K/yr

Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related ... risk management, is preferred Don'tmeet all the qualifications listed under "Other"? These ...

Vizient, Inc.

Lead Data Scientist

Cape Girardeau, MO · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... risk, latency, cost, safety, and consistency measures. * Make key analytical and architectural ...

Vizient

Lead Data Scientist

Cape Girardeau, MO · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... risk, latency, cost, safety, and consistency measures. * Make key analytical and architectural ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

Curious about data science and analytics? Our Data Analytics department seeks those passionate ... Strong understanding of statistical modeling, machine learning techniques, and risk assessment ...

Walmart

Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

... Data Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative discipline. * Experience building enterprise AI platforms supporting audit, compliance, finance, risk ...

Walmart

Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

... Data Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative discipline. * Experience building enterprise AI platforms supporting audit, compliance, finance, risk ...

Walmart

Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... Data Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative discipline. * Experience building enterprise AI platforms supporting audit, compliance, finance, risk ...

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Credit Risk Data Science information

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Missouri? For Credit Risk Data Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Missouri look for? The top searched job categories for Credit Risk Data Science jobs in Missouri are:
What cities in Missouri are hiring for Credit Risk Data Science jobs? Cities in Missouri with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Securities Analyst - Credit Risk Management

Kansas City Life Insurance

Kansas City, MO • On-site

Full-time

Medical, Dental, Vision, Life

Posted 4 days ago

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Job description

QUALIFICATIONS/REQUIREMENTS:


  1. BS/BA in Finance, Data Science, or related field (MBA or MS in Finance/ Analytics preferred)
  2. CFA Designation (or active progress toward it) required
  3. At least 3 years of experience in investment or related field preferred
  4. Experience building AI-enhanced workflows to automate research, data extraction, or financial analysis
  5. Proficiency in prompt engineering and AI-assisted research tools to generate accurate, auditable outputs using LLMs, Bloomberg, and Excel
  6. Regular and reliable attendance and punctuality is an essential function of this position.


DUTIES/RESPONSIBILITIES:

  1. Perform capital markets research for the purpose of identifying broad credit and economic trends.
  2. Apply detailed financial analyses to measure credit risk of existing positions at both the issuer and portfolio level.
  3. Leverage Al-powered tools, including large language models, to accelerate credit research, automate routine analytical tasks, and generate comprehensive issuer and sector summaries.
  4. Conduct macro, sector, and issuer level research using both traditional and AI augmented analytical tools to identify credit trends, emerging risks, and relative value opportunities across fixed income markets
  5. Contribute to quality investment purchases through proactive research and evaluation of credit quality of prospective companies.
  6. Assist in maximizing portfolio returns and mitigating risks.
  7. Monitor and evaluate rating agency upgrades, downgrades and outlook changes.
  8. Develop and maintain good working relationships with investment brokers, analysts and rating agencies.
  9. Make buy/sell recommendations based on a sound analysis of all relevant factors.
  10. Assist accounting and senior management personnel in the evaluation of credit and investment matters.


Regular and reliable attendance and punctuality is an essential function of this position.


Kansas City Life Insurance Company is committed to equal employment opportunities for all individuals regardless of race, religion, color, sex, age, national origin, disability, or genetic information.

Company Description

Kansas City Life Insurance Company was established in 1895 in Kansas City, Mo. Our agency force of more than 2,500 serves 49 states and the District of Columbia. We insure more than half a million policyholders from coast to coast. Our Home Office is located in Kansas City, Mo., with a staff of more than 400 associates who provide support for our field force and policyholders.