Data Analyst (Financial Crime)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Data Analyst (Financial Crime) (SQL/Fintech): Developing and optimizing financial crime detection rules and monitoring transaction data to identify risk patterns with an accent on complex SQL query authorship and end-to-end rule ownership. Focus on building detection logic from scratch, analyzing SMB transaction data, and mitigating AML risks.
Location: Hybrid in London (3 days per week in office)
Company
A profitable financial platform providing business credit cards, spend management, and savings products for small businesses.
What you will do
- Write complex SQL queries to interrogate transaction and customer data to identify anomalies and risk patterns.
- Design and build financial crime detection rules from scratch and iterate based on real-world performance.
- Own the full lifecycle of detection rules, from spotting gaps to building and monitoring fixes.
- Analyze lending and card data to understand customer behavior and product-specific crime risks.
- Collaborate with Compliance, Risk, and Product teams to embed financial crime controls at the product layer.
- Support investigation and escalation workflows, contributing to SAR decisions.
Requirements
- Strong data analyst background in a fintech or digital lending environment.
- Advanced SQL skills, including proficiency with CTEs and window functions.
- Proven experience owning analytical problems end-to-end through to deployment.
- Ability to work independently in a small, fast-moving team with ambiguous problems.
- Location: Must be based in or able to commute to London for 3 days of office work per week.
Nice to have
- Knowledge of AML typologies such as layering, structuring, or mule account detection.
- Exposure to Sanctions or PEPs screening.
- Experience with transaction monitoring platforms like Actimize, Napier, or ComplyAdvantage.
- Experience with SAR production and regulated financial crime reporting.
- Proficiency in Python or R for advanced analysis.
Culture & Benefits
- Private Healthcare including dental and opticians via Vitality, plus worldwide travel insurance.
- Financial perks including a salary sacrifice pension scheme (up to 7% match) and anniversary rewards.
- Generous time off with 28 days holiday plus bank holidays and a 4-week fully paid sabbatical.
- Wellness support via an annual Learning and Wellbeing Budget and 6 free therapy sessions per year.
- Dog-friendly office environment featuring a pool table, arcade machine, and free drinks and snacks.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β