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Financial Crime Analytics Manager

London
£62000 - £72000 per annum + + car, bonus, benefits

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Financial Crime Analytics Manager


London

Up to £72,000 + bonus + benefits

A leading international bank is looking for a strong data-orientated Financial Crime Manager to join their team and develop financial crime data modelling and advanced analytical techniques, with board-level influence.

THE COMPANY

A leading international bank across high street and online, retail and corporate. Their teams are of a high calibre analytically, looking to further their financial crime strategy with data science and modelling techniques. Teams are high performing producing market-leading work, whilst maintaining an envious work-life balance.

THE ROLE

  • Drive the data agenda within financial crime
  • Use advanced analytics in SAS, SQL and Python to identify trends within large datasets
  • Test, tune and calibrate rule sets across a range of transaction monitoring, list management and sanctions screening systems
  • Develop and implement new technology systems to minimise financial loss and impact to customers, including machine learning and AI driven systems
  • Produce MI and Reports for senior stakeholders on the latest financial crime landscape, system effectiveness and typologies
  • Provide key insights into the regulatory changes across anti-money laundering, sanctions screening, transaction monitoring, and customer risk assessments

YOUR SKILLS & EXPERIENCE

  • Experience with financial crime modelling, tuning and testing systems
  • Strong analytical skills with SAS and SQL
  • Exposure to Python is advantageous
  • Excellent communicator - this role will have board-level influence

BENEFITS

Up to £72,000

Discretionary bonus

Car allowance

2x pension contribution

Flexible benefits including share save schemes, cash allowances, and additional holiday days

Remote working

HOW TO APPLY

Please register your interest by sending your CV to Rosalind Madge via the Apply link on this page.



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62272/RM
London
£62000 - £72000 per annum + + car, bonus, benefits
  1. Permanent
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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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This usually stems from bias, a perpetual problem for AI and ML across all industries.  Technology Review notes that “There are two main ways that bias shows up in training data: either the data you collect is unrepresentative of reality, or it reflects existing prejudices.”  Data, analytics, AI and ML are notoriously non-diverse working sectors. The person behind the screen creating learning algorithms tends to be white and male, and very unrepresentative of the whole society that the machine learning tool will serve. Over the years, we have heard numerous accounts of unfair and unjust machines, which have learned from a very narrow and unrepresentative dataset, which stems from the lack of diversity amongst the employees within the Data & Analytics industry. 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