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USAA · 4 weeks ago

Manager Senior, Business Intelligence Analytics - AML Financial Investigative Unit

Charlotte, NC - CENTS

Full-time

Onsite

Mid, Senior Level

$114K/yr - $205K/yr

6+ years exp

USAA is a financial services company that aims to empower its members to achieve financial security. They are seeking a proactive and innovative AML/Fraud Reporting Team Manager to lead reporting efforts against financial crime, overseeing the development and delivery of critical AML and Fraud reports.

BankingFinancial ServicesInsuranceVenture Capital

No H1B

Responsibilities

Collaborates with other data analyst and IT leaders across the Enterprise to implement an information strategy

Understands and supports the execution of the business intelligence strategic plan and partners with the business on determining compliant support solutions

Consults and advises business partners on decision support solutions

Ensures teams maintain understanding of business processes and high end-user satisfaction through meaningful partnerships

Encourages innovation, provides direction on work prioritization, manages capacity, assists with problem resolution

Responsible for direct report performance management, talent development, and career progression planning

Accountable for teamwork product volume, quality, and business value delivery

Serves as a liaison between the business and IT teams to build USAA core information delivery capabilities

Maintains industry expertise; advises and applies best practices in business intelligence solutions and platforms, usability testing, experience design and storytelling

Partners with line of business and Enterprise teams to ensure adherence to information governance and management standards

Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Qualification

AML expertiseFraud investigationBusiness intelligenceData analyticsSQL proficiencyData governanceRegulatory complianceData modelingTeam leadershipCollaboration skillsCommunication skillsProblem-solvingNegotiation skillsAttention to detail

Required

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related work experience in statistics, mathematics or quantitative analytics (10 years of experience in lieu of degree)

6 years of experience in data and analytics, technical or business-relevant function OR if advanced degree in a STEM discipline, 4 or more years' experience in data and analytics, technical, or business-relevant function

2 years of direct team lead, supervisory or management experience

Experience in authoring and gathering requirements for moderately complex business intelligence solutions

Demonstrated facilitation, collaboration and consensus building skills, with experience in presenting to cross-functional teams

Demonstrated experience applying business intelligence practices, methods, and problem-solving strategies

Experience leading and coaching others in understanding and translating needs into requirements

Knowledge of relevant regulatory compliance, industry regulations, risk management practices, and regulatory data sources

Advanced experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related)

Demonstrated the ability to embed intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details

Preferred

Familiar with USAA AML processes, procedures, and reporting standards

Knowledge of USAA data structure and data governance standards

Proven background in Anti-Money Laundering (AML) and/or Fraud Investigations. Familiarity in financial crimes concepts, including transaction monitoring, AML and Fraud investigations, and case management systems

Mastery of AML, Fraud, CTR, OFAC, PEP/NN, KYC, QA/QC concepts, terminology, regulatory requirements, and data table structures as foundational domains to oversee the development and delivery of critical AML, Fraud, and other related operational, management, and regulatory reporting and metrics

Advanced analytical skills with expertise in understanding business problems and translate to technical and reporting solutions, with strong attention to detail

Excellent communication and collaboration skills for working with cross-functional teams; ability to bridge the gap between technical features and business needs

Proven ability to lead diverse teams with varied skill sets to achieve common goals. This includes effectively assigning projects, tracking progress, and empowering team members to resolve obstacles independently. The ideal candidate also possesses strong negotiation skills and sound judgment in determining when and how to escalate issues appropriately

Technical Proficiency: Expertise in Snowflake, including data modeling, advanced SQL development, and performance tuning

Proficiency in Universe Design Tool (UDT) and/or Information Design Tool (IDT)

Experience developing complex WebI reports with custom calculations, filters, prompts, and sections

Solid understanding of SQL, relational databases (e.g., Snowflake, Oracle, Microsoft SQL Server, etc.), data modeling principles, and cloud data architecture

Experience with multiple programming languages/environments (e.g., Python, SAS, SQL, etc.)

Experience with reporting tools/technology (e.g., Tableau, Business Objects, SalesForce, Dremio, etc.)

Experience working with large datasets and optimizing report performance