AML Data Scientist

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Database, SQL, Big Data Technology, Apache Hadoop, Natural Language Processing (NLP), Teradata, ArcGIS, Data Analytics, R Programming, MySQL, Linux Operating system, SPARK Programming, SAS, Text segmentation, Global traffic steering

Job Description

We are looking for a talented candidate to join the AML Data Governance and Analytics team, an integral group within eBay’s Global AML Compliance team.

The AML Data Governance and Analytics team supports the broader Global AML Compliance team in its efforts to uncover money laundering, fraud, and other illegal activities by leveraging subject matter expertise, data analysis, advanced algorithms, and behavior-based analytics. We work globally with partners in business, compliance, and investigations to provide best in class experience for our stakeholders while identifying potential financial crime risk to eBay.

As an AML Data Intelligence & Innovation Specialist, you will use your hands-on Anti-Money Laundering (AML) and Sanctions data experience to support eBay’s Global AML program. Additionally, you will apply your strategic and analytical skills to enterprise wide challenges. You will team with world-class professionals to identify actionable insights that ultimately impact the safety and soundness of the organization. You will work in a space that looks deeply into emerging risk trends and the business enablement opportunities that help fuel strategic decisions.

The day-to-day work will involve leading, building, documenting, and testing the data process, evaluation models, AML applications and operational procedures for the program. A successful candidate will be able to demonstrate effective communication, technical and leadership skills.

You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation with multi-disciplinary global team with a range of industry experiences and expertise.

The ideal candidate is a problem solver, equipped with proven analytical skills suited to approach varied challenges in complex environments. Adept at creative and critical thinking, can deconstruct the problem and transform personal insights into solutions. The candidate must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence led data analysis skills, network analysis acumen, and intellectual curiosity which is essential for data science tasks. The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. The candidate should be able to understand machine learning, graph/network theory, predictive modeling, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.

Roles & Responsibilities:

• Work with the broader Global AML Compliance team in leveraging feedback from current AML suspicious activity trends and patterns to fine-tune reports and provide updates for the program
• Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm
• Demonstrate an ability to apply curiosity and critical thinking and turn data mining, analytics, and derivative outputs / presentations into coherent business driven implementation proposals.
• Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc.
• Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.
• Understand the difference between information and intelligence; demonstrates previously applied research to create intelligence from big data sets and drive decision recommendations
• Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
• The role requires the ability to develop and effectively communicate recommendations to senior leadership.
• May direct or participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.
• Head or participate in the training, development, mentoring of junior employees.
• Understand global AML transaction monitoring rules, investigative practices, emerging money laundering typologies and how they can impact eBay’s Global AML Program
• Manage business requirements and define technical specifications to meet business expectations
• Participate and lead discussions with various eBay engineering teams, validate design proposals, and build application solutions for the AML program
• Validate evaluation models, analytics, risk/operational reporting, and support systems for AML Compliance
• Promote robust analytical functions for risk detection, profiling, and mitigation that include leveraging advanced analytical techniques (such as statistical modeling and data mining)
• Investigate business goals to understand, test and review data mapping logic accuracy, and recommend corrections or improvements to improve AML risk calculations
• Develop internal controls and metrics to continuously monitor trends and data quality, and implement processes to proactively detect, correct, and prevent data inconsistencies
• Extract eBay seller data to review trends and develop rules or algorithms for risk identification
• Work with cross-functional teams
• Create and maintain detailed documentation
• Deliver high-quality projects in a timely manner and provide project updates as needed
• Prior e-commerce AML transaction monitoring and banking experience are a plus

Required Qualifications

• Hands-on AML experience and knowledge in payments, technology, and compliance
• Exceptional understanding & hands-on across Financial Crime (AML / Fraud / Cyber / Sanctions / Corruption / Anti-Bribery Risks and Typologies) domain, as well as transaction monitoring processes used to mitigate these risks
• Exceptional research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
• Exceptional SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop
• Exceptional skills using tools like: Python, R, SAS or similar statistical package
• Experience with graph theory / network science analysis and tools is a plus.
• Hands-on on various statistical models & possess excellent experience.
• Experience in tools such as Palantir, I2 Analyst Workbook, Semantica, ArcGIS and other domain specific tools is a plus.
• Experience with Oracle is a plus.
• Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
• Ability to handle multiple projects simultaneously in a fast-paced and dynamic financial services environment
• Experience in developing documentation that meets the highest regulatory standards and audit requirements
• Experience in developing reports and updates to senior management regarding the above activities
• Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization both written and verbal.
• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
• Ability to take initiative and execute against key projects independently
• Ability to thrive in a cross-functional environment while juggling multiple responsibilities
• High energy and a desire to work in a results-oriented, fast growth environment
• Ability to accurately evaluate work effort, set delivery timelines and independently solve problems with qualitative and quantitative analyses
• Ability to deliver tasks in a timely manner and within an agile environment
• Excellent written and verbal communication skills to articulate and deconstruct complex issues
• Experience in gathering business requirements, data acquisition, data processing and report presentation
• Ability to work with individuals across different time zones
• Advanced MS Excel analytical skills

Nice to Have:

• Linux OS knowledge
• Macro development programming skills
• Spark SQL database experience
• Unstructured data analytics
• Track record of delivering projects within tight timelines.
• Knowledge of sanctions screening processes
• Experience with e-commerce, payments processing, money services businesses and/or financial services

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement,

eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at We will make every effort to respond to your request for disability assistance as soon as possible. Jobs posted with location as Remote - United States (Excludes CO, HI, NM) excludes Colorado, Hawaii and New Mexico.