Financial Crime Manager – Trade Finance and Corporate Banking.

Fleet Search are working for a global Corporate and Trade Finance Bank based in London (City), who are seeking a Financial Crime Manager, to support the new MLRO.

The position reports to the MLRO and has responsibility for two staff members.

As one of two Financial Crime Managers the post holder will have responsibility for the Financial Crime Advisory function for the Trade Finance business line with a focus on Sanctions. You’ll support & train staff members within the team and maintain an effective management reporting line.

It’s an interesting broad role covering as aspects of Financial Crime across the London branch, with a focus on sanctions within TF.

Work from home 1 day per week. With 4 days in the office.

Responsibilities

• Lead financial crime including: Sanctions, FC regulations and legislation, AML, KYC, CDD, PEP, Fraud, Off boarding, ABC, Gifts & Hospitality, Country Risk Assessment, and Customer Risk Rating Methodology.
• Deputise for the MLRO as nominated officer.

Qualifications and Experience

• Bachelor’s degree
• Strong technical financial crime and regulatory and legislative knowledge, including: Money Laundering, Terrorist Financing, Sanctions, Fraud, Bribery & Corruption, Facilitation of Tax Evasion and Modern Slavery.
• Strong Trade Finance (Corporate Banking also considered) experience
• UK Work Visa. The firm are unable to sponsor or support, student, dependant Tier 2,3,4 visas.

The successful candidate will have a Fin Crime, Sanctions, Fraud prevention and ABC advisory experience, gained from acting as a SME in a bank/financial institution.

We are expecting a high degree of interest in the role and will review all applicants but may not be able to reply to everyone.

Requirements – Data Scientist with Python to support established Risk and Controls Analytics and Digitalization team.

This role is an opportunity for candidates with a data science academic background and (preferably) prior relevant working experience, to join the Internal Audit department
of an Investment Bank.  You will use your recent data science experience to prototype different data analytics ideas and re-usable solutions as well as analyse data to generate insights. You will help visualise data analytics results to present findings with tools and dashboards.

Must have:

• Recent academic or working experience of programming with Python and familiarity with Linux/Unix
  environment.
• You will have a keen interest in developing programming level skills in new technologies (e.g. ElasticSearch, Graph Technology, TensorFlow, etc.)

Preferable:

• Hands-on experience working with data and developing reusable and easy-to-use scripts and applications.
• Recent academic or working experience in data modelling and visualisation.

Unfortunately we are only accepting individuals with a UK work Visa.

Hybrid working.