Senior AML Specialist managing compliance operations and investigation processes for fintech in Lithuania. Key role in AML/CFT operations and collaboration with senior teams at HQ.
About the role
- Senior Quantitative Risk Analyst for USAA focusing on Financial Crimes Models and risk assessment methodologies. Collaborating with stakeholders while utilizing advanced analytical techniques for model optimization.
Responsibilities
- Utilize advanced analytics to assess future risk, opportunities, and effectiveness and translate results into meaningful solutions to enhance decision making.
- Apply advanced knowledge and industry best practices to quantify risk and aggregate exposures.
- Engage in model validation and produce model validation reports.
- Apply innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.
- Translate recommendations into communication materials to effectively present to colleagues for peer review and management.
- Apply advanced knowledge to produce advanced analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies.
- Provide mentorship to other team members in the peer review process.
Requirements
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline or 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
- 6 years related quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative discipline OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4 years work experience in a quantitative discipline relevant to risk management OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline and up to 2 years work experience in a quantitative discipline relevant to risk management.
- A Master or Ph.D. degree in a quantitative field.
- Advanced knowledge of statistical and machine learning models and techniques
- 5+ years of experience in developing, validating and implementing Financial Crimes Models.
- Solid understanding of AML and Financial Crimes modeling techniques.
- 10+ years of hands-on technical coding experience and strong programming skills, e.g. Python, SAS, SQL, R.
- Prior experience working on Transaction Monitoring Platform such as Actimize, Lexis Bridger, preferrable modern systems leveraging Machine Learning Algorithm for Detection.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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