FCC Model Analyst

BankUnited; Miami, Northern (FL, KY); Hybrid; USD 75,000 - 110,000; Full time

Job summary

BankUnited, based in Miami, seeks a Model Analyst to support the Financial Crimes Compliance (FCC) function. You will leverage data analytics to validate models, maintain documentation, and generate reporting for FCC leadership, auditors, and regulators.

The role involves data mining and improving analytic workflows to meet regulatory expectations. The candidate will monitor model performance, identify data gaps, apply statistical techniques, and collaborate with IT and business lines to enhance

Qualifications

• 4-6 years with data modeling, analytics, or reporting in financial services.
• 2-3 years as an analyst working with BSA/AML, OFAC, or Fraud models.
• Experience with BSA/AML model management including scenario development and thresholds.

Responsibilities

• Assist in model documentation and validation reports.
• Prepare clear, concise reports for FCC supervisors and auditors.
• Monitor model performance and coordinate with IT and business lines.

Skills

Data analytics

Model validation

SQL

SAS

Python

Communication

Education

Bachelor's Degree in Computer Science, Data Analytics, Data Science, Business Analysis or related field

Tools

SAS

SQL

Tableau

Python

R

Actimize

Job description

JOB SUMMARY

The Model Analyst will be responsible for supporting the Financial Crimes Compliance ("FCC") business units through the utilization of technical and business knowledge to assist with model validations, maintain and update model documentation, recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling).

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Assist in the maintenance of formal procedures and model documentation
• Assist with model performance monitoring, including validation and the preparation of model validation reports and related supporting technical documents
• Prepare reports in a manner that is clear and comprehensible to FCC supervisors/managers, internal auditors and regulatory examiners
• Develop and maintain technical expertise of model functionality including release and upgrades
• Ensure that FCC Data Analytics Manager is apprised of any model issues and maintain status reporting
• Assist FCC stakeholders in conducting validations, performance monitoring and other system testing
• Create and execute effective challenges for modeling assumptions, inputs, conceptual soundness and theory, developmental evidence, implementation and outputs
• Identify process gaps and recommend new opportunities for process improvement through the use of quantitative analytics
• Apply statistical techniques to interpret risk and develop solutions for business consumption
• Ensure that operational reports are complete and provide accurate data to enable business functions to carry on day-to-day operations
• Support the data mining, reporting and general analytics needs of the FCC department
• Ability to recognize and communicate the regulatory and policy driven use of FCC models, tools, and utilities
• Support the development of innovative approaches and best practices
• Communicate production issues with key stakeholders such as business lines, FCC management team, and the IT Department
• Maintain working knowledge of Bank system platforms
• Coordinate, develop and/or review exam and audit deliverables
• Handle a large workload with the ability to complete the tasks correctly and efficiently within the designated timeframes; exercise discretion in setting priorities
• Perform any other assignments as directed by manager
• Possess commercial awareness of banking and BSA/AML, OFAC and Fraud risks
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

QUALIFICATIONS

Education

• Bachelor's Degree in Computer Science, Data Analytics, Data Science, Business Analysis or a related field required
  Experience

Experience

• 4-6 Years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development required
• 2-3 years of experience as a model analyst or similar position working directly with BSA, OFAC and/or Fraud models
• Experience with BSA/AML model management including scenario development, segmentation and threshold tuning; OFAC models including matching algorithms and fuzzy logic and Fraud models including wire, check, online banking and RTP models

Licenses and Certifications

• Certified Anti-Money Laundering Specialist (CAMS) preferred or
• Anti-Money Laundering Certified Associate (AMLCA) preferred

Knowledge, Skills, and Abilities

• Familiarity with model vendors such as Actimize, Fircosoft and Fiserv
• Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics (formerly Omniture Site Catalyst), Tableau, IBM Digital Analytics (formerly Coremetrics), Google Analytics, Webtrends, Python or R, etc.
• Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues
• Strong verbal and written communication skills and ability to communicate technical information to non-technical audiences
• Maintains strong attention to detail in high-pressure situations
• Solid understanding of data warehouse and dimensional modeling concepts

Additional Information

• Candidates residing in locations within BankUnited's footprint may be given preference.

BankUnited is an Equal Opportunity Employer. BankUnited does not discriminate against individuals on the basis of race, creed, color, gender, religion, national origin, age, disability, veteran status, pregnancy, marital status, citizenship status, sexual orientation, gender identity, genetic information, or any other classification protected by applicable laws.