Lead Analyst, Risk Execution

Lead Analyst – Risk Execution

Location: Wilmington, DE (Hybrid)

We are seeking a highly skilled professional to join our Risk Development team in Wilmington, DE as a Lead Analyst. In this role, you will play a pivotal part in the implementation and optimization of credit risk strategies and models across both our proprietary platforms and external partner channels. You will leverage your technical expertise to translate complex credit risk models into functional code, ensuring seamless integration and accurate risk assessments.  

Responsibilities

• Collaborate with risk analysts and data scientists to translate credit risk intent and models into efficient and reliable software solutions in the Point-of-Sale/Lending space
• Work cross-functionally to identify new opportunities and improve current system capabilities.
• Communicate with business, technology, decision sciences and product to understand proposed changes and clarify, execute and troubleshoot deployments.
• Partner with third-party vendor partners for evaluating data/products and their integration into multiple platforms.
• Ensure efficient delivery of projects with utmost quality and meet/beat timelines.
• Develop testing & control procedures to ensure execution accuracy and effective post implementation monitoring.
• Continually assess and enhance the efficiency and scalability of implemented models and application logic

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Proven experience in software development, preferably within the financial services or risk management industry focused on risk and/or compliance implementations
• 4+ years’ experience in designing and developing data-driven solutions using Python and related frameworks, such as Django, Flask, or Fast API
• Proficiency in Git for version control and GitLab for collaborative development and CI/CD integration
• Proficient in Python and object-oriented programming
• Experience with cloud-based platforms (AWS, Azure, Google Cloud, preferably AWS)
• Experience in working with Credit bureau data, ML infrastructure, and Microservices architecture, and creating scalable and resilient applications leveraging containers and cloud services
• Understanding of software testing and quality assurance practices
• Ability to work independently and as part of a team
• Adaptability to a fast-paced and dynamic environment

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with:

• Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances 
• Up to 4% matching 401(k)   
• Employee Stock Purchase Plan (10% share discount)   
• Tuition reimbursement   
• Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) 
• Paid sick leave as determined by state or local ordinance, prorated based on start date 
• Paid holidays (7 days per year, based on start date) 
• Paid volunteer time (3 days per year, prorated based on start date)