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Credit Risk Data Science Jobs in Iowa (NOW HIRING)

Own and develop credit risk elements of the enterprise risk framework to ensure alignment with ... Proficient in financial modeling, data analysis, and portfolio management software * Forward ...

Data Science Associate

Des Moines, IA

$57K - $58K/yr

Work cross-functionally with business stakeholders to identify risk and provide solutions that ... Specific exposure with hands-on data analysis of databases and files using SQL dialects and ...

Work cross-functionally with business stakeholders to identify risk and provide solutions that ... Specific exposure with hands-on data analysis of databases and files using SQL dialects and ...

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money * Spread appropriate financial data using CASH software program * Generate ...

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money * Spread appropriate financial data using CASH software program * Generate ...

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money * Spread appropriate financial data using CASH software program * Generate ...

Work Shift 1 - First Shift Job Summary Are you someone that enjoys solving problems, analyzing data, and making an impact? In this role, you'll assess credit risk and support financial solutions that ...

Work Shift 1 - First Shift Job Summary Are you someone that enjoys solving problems, analyzing data, and making an impact? In this role, you'll assess credit risk and support financial solutions that ...

Bachelor's degree in Data Analytics or a related field. * 25 years of experience in data science ... Credit and criminal background verification required on all applicants. B2E Data Marketing is an ...

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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 Iowa? For Credit Risk Data Science jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Iowa look for? The top searched job categories for Credit Risk Data Science jobs in Iowa are:

Portfolio Risk Analyst

Watercress Financial Group LLC

West Des Moines, IA โ€ข On-site

Full-time

Posted 2 days ago


Job description

Description:

The consumer credit Portfolio Risk Analyst is responsible for the ongoing credit performance, risk management and delinquency monitoring of the companyโ€™s home improvement loan portfolio. This role contributes heavily to the end-to-end monitoring, analysis, and optimization of loan performance, ensuring that repayment, delinquency, cure rates, and charge-offs remain within the companyโ€™s risk appetite and financial targets.


The Portfolio Risk Analyst is a member of the analytical credit risk team focused on development, testing and implementation of new or enhanced strategies to improve future loan portfolio performance.


Watercress Financial is a home improvement lender originating across the United States. Candidates should be comfortable working in a highly entrepreneurial company where smart ideas, fast analysis, and thinking ahead are high-value personal traits.

RESPONSIBILITIES

  • Create and maintain monitoring reporting for consumer loan portfolio performance
  • Provide analysis and back-testing to minimize delinquency and charge off, while optimizing loan approval, look-to-book rates, and repayment rates.
  • Detect emerging credit risk trends in the economy, market or portfolio, and provide strategic recommendation to reduce credit risk or optimize profitability
  • Provide transparent, defensible reporting to executive leadership and risk committees
  • Create, maintain and enhance: loan loss forecasting, prepayment models, roll rate analysis, transition rate analysis.


QUALIFICATIONS

  • 4yr degree Finance, Accounting, Engineering, Actuarial, Com-Sci or other analytical field (Associates Degree with commensurate experience also considered)
  • Two or more years in a consumer lending portfolio management, FP&A, risk, data analysis/modeling or similar role
  • Confident working independently , detailed oriented
  • Strong working knowledge of: credit bureau data, consumer loan portfolio, loan repayment and delinquency behavior


KNOWLEDGE AND SKILLS

  • Experience with consumer loan capital markets, FP&A, loan securitization
  • MS Excel, Microsoft Power stack (PowerBI, PowerQuery, PowerPivot, PowerAutomate) and SQL
  • MLL, boosted/ensemble and/or chat models
Requirements: