Financial Crime Analytics Manager

The Financial Crime Analytics Manager is responsible for supporting the maintenance and analysis of

all Financial Crime tools & systems and development of the analytics framework across Financial

Crime. The role will be responsible for developing, and supporting delivery of an industry leading

roadmap for all Financial Crime systems covering, Fraud, Sanctions AML Transaction monitoring

and KYC. This will also include the analytical techniques and framework in which data is used to

drive the strategy and decisions relating to Financial Crime Prevention. The role holder will work

closely with our Compliance team, MLRO, Product and Data teams to ensure a uniform &

coordinated approach to creating a safe and seamless compliance operating framework that can

sustainably scale with Altery’s rapid growth.

Responsibilities:

● Work with and support the Financial Crime Analytics Lead to develop Altery Financial Crime

systems and data strategy, to not only detect and disrupt financial crime but to deliver great

customer & company experiences/outcomes

● Maintain, tune and calibrate all Financial Crime systems using data driven decisions to

optimise performance of these systems.

● Link your Financial Crime experience with alerts process and market situation to help reduce

the number of false positives and increase efficiency gains

● Suggest improvements and drive innovative Financial Crime solutions for the customer's &

companies benefit

● Write, test, promote and monitor new rules and initiatives to protect against specific financial

crime types

● Support the creation of analytical models and integration of these into our systems from

conception through to testing and delivery

● Support the maintenance of complex, data driven systems to combat fraud and financial

crime, including customer risk assessments, transaction monitoring

● Support the delivery of the data strategy for financial crime data - working with our product

and data engineers to ensure that we capture the right data to help build models that help us

detect financial crime

Experience & Knowledge

● 3+ years experience in managing Financial Crime detection systems in a Financial Institution

setting.

● Background & educational qualifications in the following areas are beneficial but not

essential; Computer Science, Mathematics, Economics, &/Or Financial Crime prevention

qualifications.

● Track record in analysing and maintaining the performance of Financial Crime detection tools

● Experience/knowledge of Financial Crime Disciplines such as Fraud, AML, TF, Sanctions,

Pep’s & KYC)

● Familiar with using a variety of analytical tools (like business intelligence tools,

experimentation, causal inference, machine learning) and coding languages (like Python SQL

& R)

● Experience communicating complex information accurately, clearly, and quickly to all levels

of management, regulators, auditors, and third parties.

● Experience in dealing with compliance vendors/solutions and the selection of new and

innovative solutions as and when appropriate.

Skill & Competencies

● Be a Financial Crime SME with knowledge across Anti-Money Laundering, Anti-Bribery and

Corruption, Sanctions and Fraud

● Data and analytics skills with SQL (advanced) and exposure to Python or R

● Tuning and calibration experience with a variety of Financial Crime tools such as Feedzai &

Fico applications

● Familiarity with business reporting tools such as Power BI or Tableau

● Excellent communication skills

● Highly Analytical and Proven ability to understand, evaluate and resolve problems

● Able to work under pressure and own initiative