Fraud & AML Analytics Manager

antfinancial; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled professional to enhance their anti-money laundering and compliance data governance. This role involves driving risk management through data-driven methods, supporting compliance teams during regulatory inspections, and collaborating with technical teams to innovate automation in quantitative strategies. The ideal candidate will possess a strong background in big data risk control analysis, excellent project management skills, and proficiency in data analysis tools. Join a forward-thinking company that values collaboration and innovation in the financial technology sector.

Qualifications

• 2+ years of experience in big data risk control analysis and modeling.
• Strong project management and team collaboration skills.

Responsibilities

• Governance of anti-money laundering and compliance data for accuracy.
• Support compliance teams in regulatory inspections and reporting.

Skills

Data Analysis

Risk Control

Project Management

Team Collaboration

English Proficiency

Chinese Communication

Education

Bachelor's Degree in Statistics

Bachelor's Degree in Mathematics

Bachelor's Degree in Computer Science

Tools

SQL

SAS

Python

R

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Description

Main responsibilities include:

1. Responsible for the governance of underlying anti-money laundering/sanctions/global trade compliance data to ensure the accuracy and completeness of data used by strategies, models, and systems.
2. Drive the identification and management of anti-money laundering/sanctions/global trade compliance risks using data-driven methods, assisting compliance officers in formulating effective risk control plans.
3. Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support.
4. Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.

Requirements:

1. Bachelor's degree or above in relevant fields such as statistics, mathematics, computer science, etc.
2. At least two years of experience in big data risk control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech, with a preference for anti-money laundering/sanctions/global trade compliance experience.
3. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc.
4. Strong project management experience, good team collaboration skills, and ability to work under pressure.
5. Fluent in English listening, speaking, reading, and writing; proficiency in Chinese communication is preferred.