Data Analyst Lead

Yorkshire Building Society; Birmingham; Hybrid; GBP 59,000 - 67,000; Full time

Job summary

A leading financial institution is seeking a Senior Business & Data Analyst to support the Financial Crime Risk Management Framework. The role involves deep analysis of financial crime data, communication of complex analytical solutions, and development of best practices in data management. Candidates must possess strong expertise in statistical analysis, machine learning, and have knowledge in AML and fraud. The position offers a hybrid working pattern, with a salary range of £59,850 to £66,500 per annum.

Qualifications

• Experience with financial crime risk, including AML and fraud.
• Excellent knowledge of supervised and unsupervised machine learning techniques.
• Ability to perform complex data analysis and reporting.

Responsibilities

• Lead complex analysis to manage Financial Crime risks effectively.
• Communicate findings and implement data-driven decisions.
• Develop training and analytical techniques for the financial crime function.

Skills

Expertise in financial crime risk

Statistical analytics

ETL processes

Python or R for data manipulation

SAS/SQL for large datasets

Machine learning techniques

Data visualization using Tableau or Power BI

Education

Related financial crime qualifications

Tools

Tableau

Power BI

Job description

Support the Group’s Financial Crime Risk Management Framework & broader Society by undertaking a combination of advanced data mining, advanced statistical analytics and financial crime risk model development. Be the data expert within financial crime, share knowledge and develop the team, function and wider business.

The Role:

• A subject matter expert in the preparation of data from statistical analysis, modelling and predictive analytics.
• The ability to identify and communicate often complex data and analytical solutions to the wider department, ensuring transfer of key findings to inform business changes and risk mitigation.
• Working across multiple risk types (AML and Fraud), lead complex analysis and own the production of timely and accurate Financial Crime management information, trends and insights.
• Identify opportunities and best practice of data management across all areas of financial crime and the wider business.
• Maintain knowledge of financial crime systems and controls used by the Group, allowing for continuous improved performance.
• Use data‑driven reporting benchmarking across sites to identify best practice and outliers, identifying opportunities for efficiency, forecasting, service, scalability, reducing cost and risk.
• Work closely with first and second lines of control and governance to ensure that systems and processes are in line with expectations and addressing the risk using a risk‑based approach.
• Utilise best practice statistical, analytical and modelling techniques to perform complex analysis of the Group’s Financial Crime Risks, to enable proactive prevention and detection, optimised tuning of financial crime technologies.
• Be viewed as an expert in the Financial Crime systems and able to process, manipulate and interpret that data to support the above accountabilities.
• Communicate results of analysis to a high standard, both written and verbally, making recommendations for risk mitigation within risk appetite.
• Responsible for the development of the financial crime function in relation to specialist data training, techniques and analytical modelling. As a Financial Crime Threat Intelligence & MI Analyst, you will play a pivotal role in protecting YBS from financial crime threats. You will use intelligence, data analysis, and investigative techniques to identify, assess, and mitigate risks related to fraud, money laundering, etc.
• Ability to apply themselves to problem solving and analysing situations, delivering practical and compliant financial crime controls/solutions.
• Evidence of professional learning and development to build and maintain skills and expertise.
• Excellent knowledge of ETL processes, use of Python or R to enable data manipulation for modelling.
• Ability to carry out statistical analytics and model deployment.
• Experience with SAS / SQL for dealing with complex data sets / large sets of data.
• Presenting MI using Tableau or Power BI.
• Excellent knowledge of supervised and unsupervised machine learning techniques.
• Desirable.
• Related financial crime qualifications.
• Subject matter expertise in financial crime risk including experience of AML, KYC, sanctions and fraud retail banking products and the UK regulatory environment.

Job Title: Senior Business & Data Analyst – Infrastructure Backup & Recovery

Salary: £59,850 – 66,500 per annum

Locations: Leeds or Manchester

Hours: Full-time

Working Pattern: Hybrid – at least two days per week (or 40% of time) on‑site.

Who We Are: Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice.