AML Data Analyst

Hello! We're Teya.
Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.
We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.
We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.
We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.
We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

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, and decreasing 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 data-driven 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 in-house 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 long-term 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, and false positive reduction
• 3+ years of professional experience as a data analyst in an engineering team
• Experience working collaboratively with non-technical 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, and 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
• Self-starter, comfortable in a fast-paced 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
• Bachelor's 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 1,500 gyms in the UK, 1-1 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;
• Cycle-to-Work 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.

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