EY Senior Analyst Financial Crime Solutions - 

Latvia, Vidzeme, Riga 

887428631

As aSenior Analyst in Financial Crime Solutions, you will have the chance to work on projects at market leading banks in such regions as Baltics, Nordics, Central & Eastern Europe and even Central Asia. 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.
• Carry 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 detection, response, prevention and investigation in various financial crime areas.
• 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.
• Utilize your great communication skills to present the results to internal and external stakeholders.
• Effectively work on one or more projects and/or solutions, ensuring a focus on quality and effective time management.

Skills and attributes for success

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

2400 – 2900 EUR

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