Risk Data Senior Analyst

TieTalent; London; Remote; GBP 35,000 - 41,000; Full time

Job summary

A leading company in the financial sector is seeking a Risk Data Senior Analyst to enhance data accuracy and quality across bank-wide projects. The role involves sourcing data feeds, validating data, and providing SME knowledge for risk data. Ideal candidates will have experience in banking and data management, along with strong problem-solving and communication skills. This position is remote, allowing work from anywhere in the UK.

Qualifications

• Experience in banking, risk management, and data management.
• Familiarity with data mining tools and MI analysis.

Responsibilities

• Sourcing and developing new data feeds across all products.
• Investigating and resolving Data Quality Issues.
• Supporting senior team members with complex projects.

Skills

Data Management

Communication

Problem Solving

Education

Technical Qualification in Numerical Discipline

Tools

SAS

SQL

Job description

Join to apply for the Risk Data Senior Analyst role at TieTalent

About the Business Unit: Model Risk & Analytics, Risk

Salary range: up to £41,000 per annum DOE + benefits

Location: Remote – Work from anywhere in the UK

Contract Type: Permanent

Our team

The Risk Data team, within Model Risk & Analytics (MR&A), is responsible for maintaining data accuracy and quality for bank-wide projects, including BCBS 239 compliance. We focus on delivering reliable risk data for portfolio analysis, model development, and reporting. We seek someone to help us enhance our capabilities.

What You’ll Be Doing

1. Sourcing and developing new data feeds and datasets across all products.
2. Extracting, manipulating, and validating data to support business units and regulatory obligations.
3. Rebuilding, streamlining, and automating existing data processes.
4. Providing SME knowledge for risk data across bank-wide projects.
5. Investigating and resolving Data Quality Issues within various data sources.
6. Designing and maintaining controls to ensure data quality.
7. Supporting senior team members with complex projects.

Minimum Requirements

• Experience in banking, risk management, and data management.
• Familiarity with data mining tools (e.g., SAS, SQL) and MI analysis.
• Understanding of data manipulation and ETL processes.
• Technical qualification or equivalent experience in a numerical or coding discipline.
• Excellent communication skills, able to explain complex concepts to non-technical stakeholders.
• Logical problem-solving skills for technical and business issues.