Senior Associate, Credit Risk Analytics

Sallie Mae; Delaware; On-site; USD 90,000 - 130,000; Full time

Job summary

Sallie Mae is seeking a Sr. Associate, Credit Risk Analytics to join the 2nd Line of Defense Credit Risk team. This role analyzes credit risk across underwriting, portfolio management, and loss mitigation, and helps design the risk appetite framework and thresholds.

You will develop dashboards in Power BI, write advanced SQL and Python scripts, and partner with business units and regulators to strengthen the risk oversight process.

Qualifications

• Advanced SQL coding required.
• Experience in credit analytics or credit risk.
• Proficiency in Python for data manipulation and scripting.
• Strong foundation in statistics and quantitative methods.

Responsibilities

• Perform analytical review of credit risk across the credit life cycle.
• Develop and monitor credit risk oversight framework and risk metrics.
• Design and implement Power BI dashboards for risk reporting.
• Generate and optimize SQL queries and data extraction scripts.
• Collaborate with stakeholders and regulators during portfolio exams.

Skills

Advanced SQL

Python

Statistical analysis

Credit risk concepts

Education

Degree in statistics, economics, mathematics, or other quantitative science

Tools

Power BI

Job description

When you join Sallie Mae, you become a champion for all students.

We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.

We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

What You'll Contribute:

The Sr. Associate, Credit Risk Analytics role is a key position within Sallie Mae's 2nd Line of Defense Credit Risk team. This position is responsible for performing the analytical review of credit risk related to underwriting, portfolio management, and loss mitigation processes. The Sr. Associate role also provides design and monitoring for the credit risk oversight framework including development of credit risk appetite, risk metrics thresholds, and limits. This position executes analytical techniques to provide insights into portfolio credit quality at segment level and assessment of emerging risks. Additionally, the position will collaborate regularly with business partners and regulators during portfolio exams as part of the credit review and challenge process.

What You'll Do:

Risk analytics & reporting

• Supports 2nd Line of Defense analytical review of credit risk across the entire credit life cycle.
• Evaluates risk impact of strategy changes, environmental changes, and related layered risk.
• Provides analytical support, deep diving into emerging credit trends and performing ad-hoc credit reporting. Provides narratives of observations and preparation of presentation materials.
• Design and develop Power BI dashboards to meet the reporting needs of the risk organization, encompassing areas such as operational risk, financial crimes risk, technology and cyber risk, enterprise risk, business controls, and compliance.
• Develop and optimize advanced Python scripts and SQL queries for data extraction and manipulation.
• Collaborate with stakeholders to understand analytic needs and reporting requirements and translate them into technical specifications.
• Ensure data integrity and accuracy in risk reporting processes.
• Assist in the continuous improvement of reporting workflows and methodologies.

Portfolio monitoring and risk limit setting

• Uses analytical techniques to provide insights into portfolio credit quality at segment level and assessment of emerging risk.
• Communicates findings and recommended enhancements to business partners and review remediation.

Credit components (Data, Tools and Counterparty)

• Develops monitoring for credit decision processes based on aggregation of component (models used in credit decisions, alt-data and other tools) risk and complexity.
• Designs and supports business cycle and credit impact assessments.

Credit Review and Challenge

• Manages documentation, process, and standards for compliance with credit risk policy requirements.
• Assists in the compilation of the quarterly Chief Credit Risk Officer submissions.
• Documents and communicate results to senior leadership.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What You Have:

Minimum Education, Skills and Experience Required

• Degree in statistics, economics, mathematics, or other quantitative science or equivalent, relevant work experience.
• Advance SQL coding required, with a minimum of 2yrs work experience using these languages.
• Experience with credit analytics, financial services, credit strategy or equivalent work experience.
• Applied experience using statistical tools