AML Model Validation Senior Consultant

Crowe • Chicago, IL

1d

About The Position

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: AML Model Validation Senior Consultant The AML Model Validation Senior Consultant is expected to understand and execute model validation processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, and list screening/interdiction systems. Responsibilities will include designing and/or updating testing strategies (e.g., creation of or enhancement to risk and control matrices) which will aid in the independent testing of these systems. Testing could include control design testing, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients. Testing in the Model Validation domain will include: Review of model governance, including processes surrounding Critical challenge of model design and development as compared to intended use Testing of data inputs, including data quality issues, data mapping, ETL processes, and controls for balancing and reconciliation Assessment of model user access controls, key performance indicators (KPIs), and alert review processes Evaluation of model performance, including tuning and sanctions sensitivity testing Documentation of testing using standardized work papers and development of reports

Requirements

• Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
• 2+ years of experience within the Financial Crime industry.
• 2+ years of model validation, AML system implementation, data lineage, or quality testing experience.
• Basic knowledge of software development lifecycle.
• Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.
• Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, Accuity, RDC, and others.
• Demonstrated experience and knowledge of banking and compliance systems.
• Demonstrated experience working in a results-driven environment within a team environment.
• Strong organizational, interpersonal, and presentation skills.
• Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.
• Highly effective verbal communication skills and the ability to interact with all levels of management.
• Strong teamwork, communication, and customer service skills.
• Strong analytical, attention to detail, organizational, and core project management skills.
• Possesses knowledge of the challenges of data cleansing and integration.
• Ability to work with IT and business personnel.
• Travel up to 20% as required by client needs.

Nice To Haves

• Experience with data extraction tools such as SQL/Python.
• Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

Responsibilities

• designing and/or updating testing strategies (e.g., creation of or enhancement to risk and control matrices) which will aid in the independent testing of these systems
• Testing could include control design testing, control operating effectiveness testing, and/or issue validation testing
• execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients
• Review of model governance, including processes surrounding Critical challenge of model design and development as compared to intended use
• Testing of data inputs, including data quality issues, data mapping, ETL processes, and controls for balancing and reconciliation
• Assessment of model user access controls, key performance indicators (KPIs), and alert review processes
• Evaluation of model performance, including tuning and sanctions sensitivity testing
• Documentation of testing using standardized work papers and development of reports

Benefits

• comprehensive total rewards package
• chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level