Credit Risk Manager

ZipRecruiter; Nottingham; Hybrid; GBP 65,000 - 70,000; Full time

Job summary

Join a forward-thinking company as a Credit Risk Manager, where you'll leverage your expertise in statistical modeling and data analysis to drive credit strategies. This role offers the chance to work with large datasets, develop predictive models, and translate complex data insights into actionable recommendations. Enjoy a competitive salary, flexible working options, and a supportive environment that values work-life balance and long-term progression. If you're detail-oriented and thrive in a fast-paced setting, this is the perfect opportunity for you.

Benefits

25 days annual holiday

Private Healthcare

Flexible working options

Long-term progression opportunities

Qualifications

• Experience in the Financial Services Industry is essential.
• Proficiency in Python, R, SQL, and Excel is crucial.

Responsibilities

• Develop and maintain predictive models for assessing credit risk.
• Lead A/B testing to evaluate credit strategies and policies.

Skills

Credit Risk Management

Data Analysis

Statistical Modeling

Python

R

SQL

Excel

Communication Skills

Detail-oriented

Education

Degree in Data Science

Degree in Statistics

Degree in Economics

Tools

Salesforce

Data Visualization Tools

Job description

Job Description

Role: Credit Risk Manager

Location: England (travel to Nottingham office once a quarter as per business needs)

Salary: £65,000-£70,000 DOE + benefits

Hours: 37.5 Mon-Fri

My client is looking for an experienced Credit Risk Manager to join their growing team. They provide solutions for customers seeking flexible and affordable financial options. This is a great role for a standalone Credit Risk Manager to join their commercial team, reporting to the Head of Workforce.

Core Responsibilities of the Credit Risk Manager:

• Extensive hands-on experience with credit scores and scorecards, including development, validation, and monitoring of both custom and bureau-based scoring models.
• Experience working with credit bureau data for credit strategy development, model enhancement, and risk segmentation.
• Design and implement advanced statistical models to assess credit risk, optimize credit scoring, and enhance underwriting strategies.
• Develop and maintain predictive models such as Probability of Default (PD) to forecast customer behaviour and support credit decisioning.
• Perform exploratory data analysis and data cleaning to ensure high-quality inputs for model development.
• Lead A/B testing and controlled experiments to assess the effectiveness of credit strategies and policies.
• Translate complex data insights into actionable recommendations for stakeholders through clear, concise presentations.

Requirements for the Credit Risk Manager role:

• Degree in a relevant subject (Data Science, Statistics, Economics or similar) (Essential)
• Experience in the Financial Services Industry (Essential)
• Experience working with large data sets (Essential)
• Proficiency in Python, R, SQL, or other programming languages (Essential)
• Proficiency in Excel (Essential)
• Ability to communicate technical insights effectively to non-technical audiences (Essential)
• Detail-oriented and process-driven with a focus on continuous improvement (Essential)
• Comfortable working in a fast-paced, evolving environment (Essential)
• Experience working with credit bureau data (highly desirable)
• Experience using Salesforce and data visualization tools (Preferable)

What we offer:

• Competitive salary based on experience.
• 25 days annual holiday (rising by 1 each year to 30) + Bank Holidays.
• A great work-life balance with flexible working options.
• Long-term progression in a growing company.
• Private Healthcare.

Please follow the link to apply for this Credit Risk Manager role.