Data Scientist - Credit Risk & Fraud
Posted 2 weeks ago by Square One Resources
£560 Per day
Inside
Hybrid
London Area, United Kingdom
Summary: The Data Scientist - Credit & Fraud Risk role involves conducting statistical analysis to support product strategy decisions within a leading data analytics company. The position focuses on analytical activities related to credit application assessments and model performance evaluation, while also contributing to research and development initiatives. The ideal candidate should possess strong analytical skills and experience in data mining and statistical methods. This is an initial 12-month contract with a hybrid working arrangement.
Key Responsibilities:
- Support day-to-day analytical activities across customer portfolios, including credit application assessments and risk analysis.
- Contribute to research and development initiatives.
- Monitor and evaluate model performance.
- Support the migration of existing analytical processes to cloud-based platforms.
- Independently run analysis of large datasets and present results to business partners.
Key Skills:
- Experience in credit and fraud modelling.
- Degree in computer science, mathematics, statistics, or quantitative methods (or equivalent experience).
- Good understanding of statistical methods applied to data analysis.
- User experience of Cloud capabilities, preferably Databricks.
- Proficiency in coding languages for data science and machine learning (e.g., Python, R).
- Strong written communication skills for presenting statistical results to non-statistical audiences.
- Experience processing large datasets and matching/merging multiple datasets.
Salary (Rate): £560 daily
City: Cardiff
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Data Scientist - Credit & Fraud Risk
Location: Cardiff/Remote
Salary/Rate: £500 - 560 per day inside IR35
Start Date: June
Job Type: Initial 12-month contract
Company Introduction
We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions.
Job Responsibilities/Objectives
This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments.
The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques.
Required Skills/Experience
The ideal candidate will have the following:
- Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers.
- Credit and fraud modelling experience
- Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience).
- Have good understanding of statistical methods applied to data analysis.
- Have user experience of Cloud capabilities, preferred Databricks.
- Have user experience of coding languages for data science and machine learning (e.g. Python, R).
- Have good written communication skills, including the ability to describe statistical results to non-statistical audiences.
- Experience processing large data sets and matching/merging multiple data sets.