AML Data Analyst
AML Data Analyst
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Job Description
Your Mission
As a Data Analyst in AML you will:
- Develop and refine the AML transaction monitoring intelligence to ensure the best balance between efficacy and volume of investigations
- Deliver insights that lead to actionable and measurable outcomes such as identifying new patterns to monitor reducing the number of false positives and noise decrease the investigation time
- Work closely with the AML Operations team to understand how they use our intelligence and investigation platform and use their feedback to suggest improvements
- Collaborate with compliance operations product and engineering stakeholders to analyse transaction data identify emerging money laundering patterns and develop strategies for risk mitigation
- Build and maintain dashboards documentation and reports in various environments including Snowflake Tableau and other visualisation tools.
- Collaborate with data engineering to build and maintain ETLs and data models relevant to the financial risk domain
- Promote a datadriven culture across the business
Your Team
The Customer Risk Monitoring team part of the Acceptance group implements and maintains the analytical intelligence that protects Teya and its customers from financial risks including money laundering terrorism financing and fraud. Our goal is to minimise financial losses and risk exposure to Teya while maintaining customer trust and ensuring compliance with regulatory requirements. This team works very closely with the Ops teams investigating suspicious activities.
As a data analyst in AML you will work collaboratively with the data scientists to improve our inhouse analytical intelligence the engineers integrating it the Ops investigators using this intelligence in the real world and the team leadership aligning this work with roadmap and strategic planning.
A key expectation for this role is to help shape the short medium and longterm direction for AML monitoring at Teya and we expect the ideal candidate to understand and be excited about this opportunity.
Qualifications :
Your Story
- 2 years of demonstrable experience in AML analytics for transaction monitoring ideally in acquiring services. The ideal candidate has demonstrable experience in AML rule tuning scenario development false positive reduction
- 3 years of professional experience as a data analyst in an engineering team
- Experience working collaboratively with nontechnical stakeholders ideally in operations and compliance
- Experience using a range of statistical methods such as time series analysis forecasting hypothesis testing A/B testing ANOVA regression analysis
- Excellent SQL skills and experience building ETL and/or using data transformation tools like DBT
- Highly proficient in Tableau or equivalent BI tool
- Experience using Python for data analysis
- Selfstarter comfortable in a fastpaced environment and able to adapt to changing circumstances quickly
- Strong data storytelling skills capable of translating complex data into understandable conclusions and recommendations
- Excellent written and verbal communication skills
Nice to have
- Experience working with large unstructured and heterogeneous data sources
- Bachelors degree in mathematics statistics or relevant experience in a related field
- AML certifications such as CAMS ICA or CAMI
Additional Information :
The Perks
- We trust you so we offer flexible working hours as long it suits both you and your team;
- Physical and mental health support through our partnership with GymPass giving free access to over 1500 gyms in the UK 11 therapy meditation sessions digital fitness and nutrition apps;
- Our company offers extended and improved maternity and paternity leave choices giving employees more flexibility and support;
- CycletoWork Scheme;
- Health and Life Insurance;
- Pension Scheme;
- 25 days of Annual Leave Bank Holidays);
- Office snacks every day;
- Friendly comfortable and informal office environment in Central London.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
