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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 1 мСсяц Π½Π°Π·Π°Π΄

Data Analyst (Financial Crime)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

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Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’