Bank Of America Data Science & Analytics AML Operations High Risk Detection Group 

United States, North Carolina, Charlotte 

958807098

This job is responsible for resolving day-to-day complex problems, researching, and executing on complex transactions for multiple sites or larger business unit(s). Key responsibilities include leading the design, development, and implementation of products, systems, processes, and services using discretion within the project management methodologies, with a focus on continuous improvement.

RESPONSIBILITIES:

• Primary responsibility is to create / update business rules to minimize the false-positive Screening alerts to improve efficiency and effectives of the alert review process.
• Working alongside the business Intelligence team to build and maintain business KRI/KPI Metrics
• Responsible in assisting in the development of advanced machine learning models for AML risk detection, including models specifically tailored for minimizing false positives in the alert review process
• Work across multiple on-going initiatives by attending calls from various projects, understand the Screening needs from the cross-LOB projects, provide requirements to the projects and track the status of these projects.
• Collaborate with cross-LOB teams to integrate data science solutions into existing AML systems
• Analyze large datasets to identify patterns and trends associated with high risk activities
• Assist in on-boarding new applications / Clients into the Screening platform requiring detailed discussions with various lines of businesses in understanding the nature and type of data received from and assist in data mapping into standard formats acceptable for Sanctions screening.
• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
• Work with technology teams for requirements / testing and implementing changes to improve / automate processes and stay abreast of industry trends and emerging technologies
• Create detailed visualizations for use both by users and leaders for data analytics

REQUIRED QUALIFICATIONS

• JAVA and Advanced SQL Writingand using tools like TOAD.

• Operating at the VP level for minimum of 2 years
• Advanced knowledge in using Microsoft Excel and MS Access; as well as proficiency in other Microsoft products like PowerPoint and Visio
• Master’s or Bachelor’s degree in computer science, Data Science, Data Management, Statistics or related fields
• Proven experience in developing and implementing machine learning models (both supervised and unsupervised learning) for financial risk detection
• Awareness of AI / Machine learning concepts and ability to implement such strategies.
• Good experience in Data Analytics and interpretation of large volumes of Data
• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently.
• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change.
• Ability to work and interact with people from a diverse range of backgrounds and opinions.

DESIRED QUALIFICATIONS:

• Preferred experience in Screening / AML processes
• Experience in screening applications like Fircosoft
• Has good data transformation / formatting experience and be able to work with data in different formats.
• Good logical thinking capabilities with a technical mind-set
• Team player attitude, enthusiasm, and commitment
• Experience in Global Banking & Markets business process is a plus

SKILLS:

• Risk Management
• Critical Thinking
• Customer and Client Focus
• Decision Making
• Problem Solving
• Issue Management
• Adaptability
• Attention to Detail
• Collaboration
• Analytical Thinking
• Oral Communications
• Presentation Skills

1st shift (United States of America)