Financial Crime Business Analyst

Join our client as a Financial Crime Business Analyst to be the central liaison for Compliance, IT, and business operations in implementing and enhancing Financial Crime systems in banks. You will lead design efforts, conduct testing, analyze data, develop models, and drive improvement opportunities through data insights. Required qualifications include a degree in IT or Business, Financial Crime Compliance certification, 5 years of business analysis experience, and proficiency in English and French. This permanent position in Luxembourg offers an exciting opportunity to contribute to a compliance culture and make a real impact in the financial services industry.

Description

• Act as the central liaison between the Compliance function, business operations, IT, and systems/solutions provider in matters related to Financial Crime systems;
• Lead the design or assist in designing the implementation or changes to Financial Crime Compliance Tools in banks;
• Identify, discuss, gather, challenge, and enhance user requests and requirements;
• Translate and outline business requirements, ensuring technical requirements are accurately implemented in the system;
• Coordinate and conduct testing in collaboration with Compliance, business/operations, and IT;
• Regularly assess the effectiveness of Financial Crime systems within the bank's infrastructure;
• Serve as the data expert for Financial Crime Compliance activities, collecting, analyzing, interpreting, and presenting data;
• Utilize data analysis to generate insights, identify improvement opportunities, and drive actions, focusing on KYC Data, Transaction Monitoring data, Transaction Screening data, and payment data;
• Assist in setting up and managing Financial Crime dashboards with key metrics and indicators;
• Evaluate existing models and scenarios, optimizing and validating them;
• Make recommendations to enhance Financial Crime surveillance through new risk models, model validation, statistical analyses, and sensitivity tests;
• Document business rules, thresholds, parameters, and scoring methodology of the system;
• Execute scenario rules to evaluate their relevance and efficiency and challenge existing rules and whitelists;
• Oversee Artificial Intelligence, Machine Learning modules, and other Algorithms within Compliance;
• Develop rules and models to address emerging trends, suspicious patterns, and red flags;
• Improve MIS, dashboards, and handle daily requests related to the system for Compliance and 1st line of defense;
• Participate in AML and Compliance Committees;
• Act as the voice of the compliance function, promoting and fostering a compliance culture within the bank;
• Assist the Compliance function and Line of Defense 1 in enhancing MIS and dashboard systems, and addressing any daily system-related requests;
• Take part in AML and Compliance Committees;
• Serve as the representative of the compliance function in the bank, and contribute to promoting a compliance culture across the organization.

Profile

• University degree in IT, Data Science, Engineering, or Business School with an IT, artificial intelligence, or data management focus;
• Financial Crime Compliance certification preferred;
• Minimum 5 years of experience in business analysis (securities industry, banking, management, audit, consulting, etc.);
• Fluent in English and French, Japanese proficiency an asset;
• Familiarity with securities industry operations and fund administration, especially Transfer Agency;
• Understanding of AML and banking regulations;
• Knowledge of Financial Services Industry in Luxembourg or EU;
• Strong Business Intelligence skills, including SQL proficiency;
• Experience managing complex data structures from various sources (Big Data, databases);
• Background in transactional anomaly prediction, operational risk modeling, or financial services risk management;
• Experience with big data and statistical modeling, data visualization tools (Tableau, Qlikview, etc.);
• Knowledge of AML Transaction Monitoring and Transaction Screening systems;
• Experience in Supervised AI, Machine Learning, and Algorithm management;
• Proficient in gathering requirements, writing user stories, and mapping processes;
• Proficiency in Microsoft Office (Word, PowerPoint);
• Familiarity with Compliance Monitoring Systems, Core Banking Systems, and technical tools for data mining such as SQL, VBA, Excel.

Offer

Our client offers a permanent contract.