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Credit Risk Developer Jobs in Silver Spring, MD (NOW HIRING)

Investment Risk is supported by a dedicated technology team of 32 engineers and business analysts ... Counterparty Credit Analysis and Due Diligence * Perform independent credit analysis and due ...

Lead endtoend credit risk consulting initiatives, contributing to origination and closing of ... Collaborate crossfunctionally with Product, Engineering, Risk Governance, Legal, Compliance, and ...

C++ Developer

Washington, DC · On-site

$55.25 - $74.50/hr

C++ Developer Location : Washington, DC Duration : 6 Months Qualifications: * 5-7 years' experience ... Knowledge in quantitative financial analytics (preferably in mortgage credit risk analytics)

Proficiency in programming languages such as Python, R, SAS * Advanced degree in Economics, Statistics, Mathematics or related fields * Experience with consumer credit risk models, scorecards, credit ...

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Credit Risk Developer information

What is the difference between Credit Risk Developer vs Credit Analyst?

AspectCredit Risk DeveloperCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often some programming knowledgeBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentDevelops risk models, works with data and software toolsAnalyzes credit data, assesses borrower risk, prepares reports
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending institutions, credit bureaus

While both roles focus on credit, the Credit Risk Developer primarily builds and maintains risk models using programming and data analysis, whereas the Credit Analyst evaluates individual creditworthiness and prepares risk assessments. Both roles are essential in credit decision processes but differ in technical focus and daily tasks.

What are Credit Risk Developers?

Credit Risk Developers are specialized software developers who design, build, and maintain systems that assess and manage financial risk for lending institutions or investment firms. They create algorithms and tools that analyze credit data, model potential losses, and ensure compliance with regulatory requirements. Their work supports decision-making processes related to lending, underwriting, and portfolio management. Typically, they collaborate closely with risk analysts, data scientists, and financial professionals to develop solutions that improve risk assessment accuracy and efficiency.

How does a Credit Risk Developer typically collaborate with risk analysts and business stakeholders?

A Credit Risk Developer often works closely with risk analysts to understand credit risk models and translate their requirements into robust software solutions. Regular meetings with business stakeholders are common to gather feedback, ensure alignment with regulatory standards, and adapt to changing business needs. This role requires strong communication skills to bridge the gap between technical and non-technical teams, ensuring that risk assessment tools are both accurate and user-friendly.

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

To thrive as a Credit Risk Developer, you need strong programming skills (such as Python, Java, or C++), a solid background in mathematics or finance, and experience with credit risk modeling. Familiarity with risk management systems, statistical analysis tools, and relevant certifications (like FRM or CFA) is often required. Exceptional problem-solving abilities, collaboration, and clear communication set outstanding candidates apart. These skills ensure accurate development and maintenance of credit risk models, enabling effective risk mitigation and regulatory compliance in financial institutions.
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What cities near Silver Spring, MD are hiring for Credit Risk Developer jobs? Cities near Silver Spring, MD with the most Credit Risk Developer job openings:
Manager, Consumer Lending Policy & Risk Analytics

Manager, Consumer Lending Policy & Risk Analytics

PenFed Credit Union

Mclean, VA • Hybrid

Full-time

Posted 12 days ago


PenFed Credit Union rating

7.1

Company rating: 7.1 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Overview

PenFed is hiring a (Hybrid) Manager, Consumer Lending Policy & Risk Analytics at our Tysons, Virginia or Irving, Texas location.  The primary focus of this job is to manage credit analysis to drive sustainable growth in consumer credit policy and conduct credit risk monitoring to ensure policy performance. You will explore utilizing AI in your analysis and collaborate in building advanced valuation and risk detection models. You will conduct hands-on analysis and have people management opportunities. You have a direct influence on strategic goal setting for the broader Consumer Lending Policy and Analytics team and positively impact on PenFed’s credit product experience for millions of PenFed members.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Develop and manage automated and judgmental decisions within credit policies for both new account acquisition and accounts on book, from approve/decline, line assignment and/or portfolio risk management.
  • Individual contributor or manage one analyst to achieve team’s strategic goals, training and assisting development of skills and cultivating credit culture.
  • Drive monitoring and analyses of credit risk for both organic and acquired portfolio, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
  • Define risk segmentation, lead analysis for credit policy optimization and risk mitigation strategies, focusing on new account acquisition or existing account management policies.
  • Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
  • Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
  • Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of credit trends, derive actionable insights and make sound business recommendations
  • Collaborate with business line product managers in optimizing marketing campaigns used in acquisitions and/or customer management that align with the credit policies and scoring models.
  • Participate in external and internal audits, and regulatory examinations as needed.
  • Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
  • Explore creative ways to incorporate AI into credit analysis and BAU process.

Qualifications

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.

  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.

  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.

  • Proficiency with statistical tools R & Python and Tableau experience strongly preferred.

  • Excellent written, verbal communication and presentation skills.

  • Curiosity, attention to details, strong critical thinking and problem-solving skills.

  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.

  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.

  • Specific experience with underwriting strategy, risk models and credit policy design in Personal loans and BNPL required.
  • Experience working with data engineering/ analytics engineering teams.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

Ths position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites may be required.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.

  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.

  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.

  • Proficiency with statistical tools R & Python and Tableau experience strongly preferred.

  • Excellent written, verbal communication and presentation skills.

  • Curiosity, attention to details, strong critical thinking and problem-solving skills.

  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.

  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.

  • Specific experience with underwriting strategy, risk models and credit policy design in Personal loans and BNPL required.
  • Experience working with data engineering/ analytics engineering teams.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

Ths position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites may be required.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

What PenFed Credit Union employees say

Pay

Hours and flexibility

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