Fraud & AML Analytics Manager

World First Ltd; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled data analyst to enhance their anti-money laundering and compliance efforts. This role involves ensuring the accuracy of critical data, managing compliance risks, and innovating with technical teams to automate processes. The ideal candidate will possess a strong background in data analysis, project management, and risk control, with a preference for experience in fintech or banking. Join a dynamic team where your expertise will contribute to impactful compliance initiatives and regulatory success. If you're passionate about data and compliance, this opportunity is perfect for you.

Qualifications

• 2+ years in big data risk control analysis, preferably in banking or fintech.
• Proficient in SQL and at least one analysis tool like Python or R.

Responsibilities

• Governance of anti-money laundering and compliance data for accuracy.
• Drive risk management using data-driven methods and support compliance teams.

Skills

Data Analysis

Project Management

Team Collaboration

Risk Control Analysis

Fluent in English

Education

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Bachelor’s degree in Computer Science

Tools

SQL

SAS

Python

R

Job 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.