Risk Analyst – Data Science & ML Decision Tools

Nationwide; Swindon; Hybrid; GBP 40,000 - 56,000; Full time

Benefits offered by this job

Private medical insurance

Pension scheme

Annual performance bonus

Training and development

Volunteer days

Wellbeing resources

Life assurance

Job summary

Nationwide is seeking a Risk Analyst to join the Risk Decision & Data Science team in Swindon. You will support development, maintenance and monitoring of Credit Risk decision models across Application, Behavioural and Collections, using traditional and Machine Learning techniques in a hybrid working environment.

You will work with a line manager, write SAS code to generate insights, monitor model performance, and present findings to across the business to improve decision making for members.

Qualifications

• Strong quantitative degree; experience with predictive models is beneficial.
• Experience with data, advanced analytics and modelling; interpret results and make recommendations.
• A logical/analytical approach with problem-solving skills and ability to present findings.

Responsibilities

• Write and run code in SAS to produce data for insights and monitoring.
• Develop and maintain risk decision models across cycles (Application/Behavioural/Collections).
• Present insights to stakeholders and ensure models are understood and used effectively.

Skills

Quantitative analytics

SAS/R/Python programming

Data visualization

Communication skills

Education

Bachelor's degree in Mathematics/Statistics or related

Tools

SAS

R

Python

Job description

Nationwide is seeking a Risk Analyst to join the Risk Decision & Data Science team in Swindon. You will support development, maintenance and monitoring of Credit Risk decision models across Application, Behavioural and Collections, using traditional and Machine Learning techniques in a hybrid working environment.

You will work with a line manager, write SAS code to generate insights, monitor model performance, and present findings to across the business to improve decision making for members.