Business Consultant - Risk Intelligence (AML & Sanctions)

About the role

The Global Customer Consulting group at LSEG is looking for a Business Consultant with deep expertise in Anti-Money Laundering (AML), Sanctions Compliance and third-party risk management, combined with strong technical skills in data science, programming and solution integration. The role is central to growing due diligence and screening capabilities across APAC and serves as a technical subject matter expert and strategic partner to sales, product and delivery teams.

Key responsibilities

• Act as a technical domain expert in AML/sanctions screening, supporting sales and client engagements across APAC.
• Lead strategic opportunities and RFPs, turning client needs into tailored technical solutions.
• Work with clients to design API-based integrations, data pipelines and screening workflows.
• Deliver customized projects using LSEG Risk Intelligence data and tools, including custom analytics and reporting.
• Guide customers on data modeling, transformation and enrichment to support risk decisioning.
• Support the sales process through lead qualification, opportunity scoping and solution positioning.
• Represent LSEG at industry events and client meetings, and act as the voice of the customer in product discussions with internal partners.
• Stay ahead of regulatory trends, new technologies and competitor offerings in AML and RegTech.

Required profile

• Background in AML, sanctions compliance or third-party risk with a strong technical orientation.
• Experience in sales support or solution consulting, with a solid understanding of the sales process.
• Ability to explain complex technical concepts in business terms to clients and partners.
• Strong presentation and interpersonal skills, able to engage compliance teams, IT and executive leadership.
• Willingness to travel across the region as needed.

Required skills

• Proficiency in Python, Java or other programming languages used for data processing, automation or integration.
• Data science concepts such as data wrangling, feature engineering and model deployment.
• Familiarity with APIs, cloud platforms (e.g. AWS, Azure) and enterprise data architectures.
• Knowledge of key regulations such as OFAC, FinCEN, FATF, MAS, HKMA and AUSTRAC.
• Preferred: experience with screening platforms, watchlist management and adverse media analytics; background in consulting or solution engineering in financial services or RegTech; machine learning in risk scoring or anomaly detection.