Financial Crime Data Services Analyst

Description:

• You will utilise your analytical, statistical, and programming skills to collect, prepare, analyse, and interpret large datasets. You will use the information to develop trends, statistical analysis and predictive analytics using supervised and unsupervised learning techniques.

• You will ensure model governance is documented to show feature engineering, importance, ethics, and bias mitigation. Models must be explainable and ready to be deployed.

• Collaborate with wider stakeholders, colleagues, across Financial Crime, Data team, IT, and other business areas to look for effective ways of establishing analytical solutions.

• Effectively gather and analyse analytics and data requirements for value driven analytical solutions, ensuring detailed documentation of requirements and a clear sign off process.

• Design and deliver data solutions built and presented in Analytics Tools such as SAS, SQL, Python and Tableau.

• Support and mentor other Data and MI analysts, ensuring structured learning path is in places with new and existing technologies.

• Proactively look for ways to automation/rationalise existing reports/models and enhancements to our technology.

• Proactively enhance and improve your knowledge of financial crime risk including experience of AML, KYC, sanctions and fraud retail banking products and the UK regulatory environment.

About You

• Strong Experience of using Python and advance SQL or/and other tools such as SAS/BO

• Be a subject matter expert in the preparation of data for modelling, statistical and advanced analytics

• Experience in creating data visualisation dashboards (e.g., Tableau)

• The ability to deal with conflicting priorities, to priorities effectively and deliver results on time with minimal supervision

• A team player, with a positive approach and who can support the financial crime function in relation to specialist data training, techniques, and analytical modelling