EY Manager Financial Crime Solutions Team 

Latvia, Vidzeme, Riga 

344773

You will have the chance to lead projects at market leading banks in such regions as Baltics, Nordics, Central Europe, Central Asia and even Australia. The work will require a combination of hard and soft skills, meaning it will provide an exciting mix of direct communication with top management of Banks, active participation in problem-solving, hands-on development of new solutions, and significant use of data & technical skills.

Your key responsibilities

• Assess, design, develop, document and validate FinCrime Solutions and analytical tools & models in the Financial Sector.
• Work with structured and unstructured data from various data sources to generate meaningful insights in line with project milestones.
• Be involved hands on in carrying out reactive and proactive data analysis on large datasets using a range of technologies (SQL, R, Python).
• Apply analytic techniques and develop algorithms to support FinCrime detection and prevention.
• Assist Banks & FIs in assessing, validating, calibrating and optimizing Transaction Monitoring systems, Sanctions Screening systems, Customer Risk Rating Models, and Enterprise Wide Risk Assessments covering AML, TPF, Sanctions, Fraud risk types.
• Continuously improve your and the team’s skills in various FinCrime solutions, identify innovative solutions through research and analysis.
• Actively communicate with Banks & Fis, senior stakeholders and manage their expectations.
• Effectively manage and deliver multiple projects within the set timeline and quality.
• Assist in up-skilling team members to deliver complex technical initiatives with accountability for performance and results.
• Meet performance objectives and metrics set locally.

Skills and attributes for success

• Mandatory to have a successful experience in the Banking or Big4 sector in the area of Financial Crime risk management (AML, TPF, Sanctions, Fraud).
• Excellent Excel, and proficient SQL or Python or R skills, with Power BI skills considered as an advantage.
• Hands on experience with any of the following: Transaction Monitoring, Customer Risk Rating, Sanctions Screening, Enterprise-Wide Risk Assessments, Fraud Transaction Monitoring.
• Education in either Finance and Business, Physics, Mathematics and Statistics, IT.
• Excellent Latvian and English skills, as we work with international clients, any other languages will be considered an advantage.
• Passion for Data Analytics and willingness to combine data with business insights.