Senior Data Analyst
Senior Data Analyst
Location: UK wide
Length: 6 months with a possibility for an extension
As a Barclays Senior Data Analyst you will be working as part of our Financial Crime Analytics and Data Science team that provides support in areas requiring analytics of a quantitative/statistical nature to ensure compliance with Anti-Bribery & Corruption (ABC), Anti-Money Laundering (AML) and Sanctions legislation.
Working cross functionally with multiple internal stakeholders and partners you would be responsible for deploying expertise in data analytics, statistical inference/modelling, risk management, data visualisation and the generation of complex insights and actionable MI to enhance the effectiveness and efficiency of our AML program and wider Financial Crime controls.
What will you be doing?
Provide hands-on analytics support to the AML Transaction Monitoring team in areas such as threshold tuning/optimization, customer/account segmentation and data-driven decision making.
Provide analytics support to the AML Investigations team in areas such as the development of case-prioritization scoring processes, enhanced alert-case merging and ad-hoc insight requests.
Engage in innovative PoC/Prototype development activities including data-driven automation, development of interactive dashboards and enhanced AML detection capabilities through machine learning.
Engage with our internal Technology team to provide requirements on the development of strategic data infrastructure
Assist and manage the running of regular analytical processes.
Provide support to aid in the development of junior team members
Support the growth and scope of the Financial Crime Analytics & Data Science team through the generation of ideas.
What we’re looking for:
Bachelor’s degree in a quantitative discipline with a significant Statistics component
Hands-on experience in the use of statistical analysis and data manipulation tools (SAS, SQL, R, Python) – SAS experience preferred.
Experience in applying a wide range of statistical and machine learning techniques (e.g. hypothesis testing, regression, clustering, decision trees, machine learning models).
Experience with visualization tools (e.g. Tableau, Sportfire, Qlikview) beneficial.
Relevant experience within a large corporate/Financial Services institution beneficial
Experience in the application of statistical analysis around Financial Crime/AML Transaction Monitoring will be seen as favourable.
Where will you be working?
The team is based in our Northampton office, but this position is home-based
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. Where appropriate, and for UK based roles, we will consider requests that the role be based at alternative Barclays’ key UK location from that advertised.
Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives. If you have a need for flexibility then please discuss this with the Hiring Manager.
Our dynamic working programme has been set up to help Barclays colleagues achieve an optimal work/life balance. Arrangements we offer range from working at home and changing regular hours to taking career breaks. Our Dynamic Working initiatives support colleagues at all stages of their lives, helping them with parenthood, caring, further studies and hobbies.