Financial Crimes Model Data Analyst Job at New York Community Bank, a Division of Flagstar Bank, N.A
New York Community Bank, a Division of Flagstar Bank, N.A Hicksville, NY 11801
JOB SUMMARY
Apply knowledge of financial crimes, data analytics and related principles to develop, implement and help maintain a best-in-class financial monitoring system. Assist with building and implementing data warehouse to evaluate and improve upon the effectiveness of the bank's Anti-Money Laundering (AML)/Office of Foreign Assets Control (OFAC) system.
Responsible for executing the development, and optimization of the BSA and OFAC models and monitoring systems, including: modifying segmentation, scenarios and thresholds to improve transaction monitoring which detects financial crime; in order to ensure regulatory compliance. Assist in optimizing the tuning of transaction monitoring, sanctions, name screening and customer risk rating models using Artificial Intelligence (AI), machine learning, data mining and other data analysis techniques. Also responsible for appropriate and required regulatory reporting.
ESSENTIAL FUNCTIONS
- Gathering and documentation of business requirements: Works with key stakeholders in BSA department and understand their requirements to arrive at the desired end-state.
- Creates analytical data models to support dynamic reporting requirements to meet BSA functional requirements.
- Assists in designing and implementing risk-based alert scoring; addressing and resolving logic and configuration in monitoring scenarios.
- Actively participates in system upgrades.
- Assists in developing robotic process automation modules to improve process efficiency.
- Uses advanced statistical techniques like clustering and regression analysis to ensure appropriate rigor around optimization process.
- Adheres to standards for segmentation methodology, scenario tuning methodology, peer grouping, below/above the line (BTL/ATL) sampling methodology.
- Configures/executes periodic above the line (ATL) and below the line (BTL) testing for AML rules.
- Provides detailed quantitative analysis of the test results.
- Assists in creating monthly management reports for alert trend and effectiveness analysis.
- Tracks and prepares the report of testing activities such as testing results, test case coverage, required resources, defects discovered and their status, performance baselines etc.
- Contributes in a team-oriented and collaborative environment to improve the analytical and reporting processes.
- Performs special projects and additional duties and responsibilities as required.
- Where applicable and when performing the responsibilities of the job, employees are accountable to maintain Sarbanes-Oxley compliance and adhere to internal control policies and procedures.
EDUCATION AND EXPERIENCE
- Bachelor's Degree in Data/Computer Science, Finance Information Systems or related field.
- One (1) to three (3) years data analytics experience in financial services industry or related field.
KNOWLEDGE, SKILLS AND ABILITIES
- Database technology platform skills, preferably MS SQL or similar database technologies.
- Report development skills to create custom reports using tools such as Tableau, Cognos or Power Business Intelligence is preferred.
- Good knowledge of documenting and maintaining testing documents / artifacts.
- Good knowledge of application test case development.
- Strong verbal and written communication skills.
- Sound analytical and problem solving skills.
- Highly motivated.
- Good organizational skills.
- High degree of accuracy and attention to detail.
- Ability to meet deadlines and manage multiple tasks in a fast-paced environment.
- Ability to present actionable end-to-end solutions.
Software and special tools used in this position:
- ETL (Extraction, Translation & Loading) using SSIS or equivalent.
- Data-warehousing: Cognos, Snowflake.
- Data quality: Informatica/Axon.
- Analytical Modeling: R, Python.
- Frameworks: Tensorflow, AWS, Tableau.
- RDBMS: SQL Server, Oracle.
- Other tools: NLP, Python, Microsoft Visual Studio, FCRM, Actimize.
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