Financial Crime Data Scientist
2 weeks ago
Financial Crime Data Scientist
London, remote working options
Up to £50,000 + Competitive Bonus & Benefits
THE COMPANY
Join a leading Tier 1 bank that is pushing boundaries in data, not only have they continued to grow and build out further capabilities throughout the recent post-pandemic world, but they have also developed a sustainability-first approach, allowing you touphold your ethics whilst working in one of few financial services companies that leverages cloud infrastructure, with high performing Financial Crime analytics teams.
THE ROLE
You will join the 2LOD financial crime modeling and analytics team, a hugely valued team across the business and known for their highly skilled team of financial crime analytics professionals, giving you lots of opportunity to learn and develop further, workingacross the whole breadth of financial crime.
Main Responsibilities:
- Work across multiple financial crime projects ranging from AML to Transaction Monitoring and Counter Terrorism, using your analytics skills to support the development of advanced analytics models and solutions that are dataled, using SQL and Python.
- Work with the finance intelligence unit, using your SQL expertise to identify financial crime methods and new typologies, working in partnership with this team to service their analytics needs and requests on both proactive and reactive data analysis, identifyingnew patterns based on old behaviours through your SQL analysis.
- Work with the 1LOD to set policy and framework for financial crime management and mitigation, using your expertise to ensure your teams work is flexible and innovative, following the bankwide framework and procedures.
KEY SKILLS & EXPERIENCE
- Commercial experience in Financial crime analytics
- Background/commercial experience in 2LOD
- Hands on data analytics skills with SQL, Python, or SAS
BENEFITS
Competitive Bonus & Benefits
27 days annual leave
2x pension contribution
Senior exposure across a fast-growing & renowned business
**HOW TO APPLY
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