Risk Data Analyst - Fincrime & Fraud Monitoring Porto

Overview

Join to apply for the Risk Data Analyst - Fincrime & Fraud Monitoring role at 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.

Your Mission

The Customer Risk Monitoring team is responsible for implementing and maintaining analytical intelligence that protects Teya and its customers from financial risks, including fraud, money laundering, and terrorism financing. Our goal is to minimize financial losses and risk exposure while supporting and maintaining our customers’ trust and ensuring compliance with regulatory requirements.

Your Role Will Include

• Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction
• Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies
• Act as a bridge between data and the business, collaborating closely with Operations, Compliance, Engineering, and Product teams to shape and prioritize analytical initiatives
• Identify opportunities to improve and automate monitoring, elevate emerging threats, and continuously evolve our understanding of risk
• Build and maintain clear and impactful dashboards, reports, and documentation to monitor key metrics, surface relevant trends, and drive data‑informed decisions
• Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases
• Help define and analyze fraud and AML KPIs, helping the business plan and course‑correct with confidence
• Promote a culture of data‑driven decision‑making across the organization

Your Story

We’re looking for a Data Analyst with a strong analytical foundation and a passion for tackling complex, ambiguous problems in the financial risk domain.

Must‑haves

• A minimum of two years of professional experience as a data analyst, working in financial crime and/or transaction monitoring
• Direct experience with problems such as AML scenario tuning, fraud rule optimization, or the design of detection intelligence is strongly preferred
• Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations
• Advanced proficiency in SQL and experience working with large, complex, and sometimes messy datasets
• Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt
• Proficient in Tableau or equivalent BI tool
• Proficiency in Python for data analysis, including data manipulation, visualization, and basic modeling
• Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non‑technical stakeholders
• Experience working collaboratively with cross‑functional partners, including Operations, Compliance, Engineering and Product
• Self‑starter who thrives in a fast‑paced, high‑ambiguity environment and takes ownership of their work from start to finish

Nice‑to‑haves

• Experience in acquiring services or the payments industry
• Bachelor’s or Master’s degree in a quantitative discipline (e. g. Mathematics, Statistics, Computer Science, Economics)
• Direct experience with problems such as AML scenario tuning, fraud rule optimization, or detection intelligence design
• Familiarity with regulatory or compliance‑driven analytics environments
• Fincrime certifications such as CAMS, ICA, or equivalent

The Perks

• Flexible working hours, as long it suits both you and your team
• Health Insurance
• Meal Allowance
• 25 days of Annual leave (+ Bank holidays)
• Public Transportation Card
• Frequent team events & activities in the office and outside
• Office snacks every day
• Friendly, comfortable and informal office environment

Equal Opportunity Statement

Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone, regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background, can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process, we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Seniority level

Entry level

Employment type

Full‑time

Job function

Information Technology

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