Senior Credit Risk Analyst

at  British Business Bank

DESCRIPTION

Senior Credit Risk Analyst
Location: London / Hybrid (Office Attendance 2 Days Per Week)
Contract: Permanent
Hours: Full time
Salary: From £40,950 - £48,563 depending upon experience
Please note that any same band and job family internal moves will not present any pay increase

We are currently recruiting for a Senior Credit Risk Analyst to join our existing Small Business Loans team.
As a Senior Credit Data Analyst, you will build a detailed understanding of the business through performing analytics across all the Credit life cycle.
You will support in the creation and deliver the monitoring for credit risk and fraud models and devise model strategies for credit assessment utilising statistical model outputs balancing risk and business targets.
You will also be responsible for the team’s input to IFRS9 accounting standards, which includes investigating issues and maintaining data.
You will also be responsible for the collection, validation, cleansing and transformation of data and gathering requirements, identifying/analysing data sets and then translating them into bespoke and compelling data-driven reporting, reporting requests can come from a range of grades and you will have accountability for the accuracy of any MI delivered.
You will have ownership and responsibility for producing data visualisations via Power BI, visualisations will often contain key department wide measures, metrics, KPIs which will be used for decision making by numerous stakeholders.
To be considered for this role you must have demonstrable experience querying complex data sets using SQL along with experience of designing and developing complex data visualisation / reporting with PowerBI.
You will have a sound technical understanding of database design, including conceptual, logical and physical data models as well as constructing queries and data sets under a controlled development methodology.
You will have prior experience delivering to a strict production schedule as well as experience monitoring and measuring of data quality
Handling and validating financial data with precision is a key requirement with an understanding of data visualisation best practice and be able to evidence implementation.
You must have a clear, logical and analytical approach to problem solving with excellent attention to detail / accuracy focussed and a proven experience of extracting, manipulating and interpreting complex data.