AML Data Engineer

Brown Brothers Harriman; Jersey City (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

An established industry player is seeking a skilled AML Data Engineer to join their Compliance Systems Team. This role involves designing and developing data integration workflows, applying data science techniques, and collaborating with cross-functional teams to deliver high-quality projects. With a focus on innovation and problem-solving, this position offers the opportunity to work on critical compliance initiatives while leveraging advanced technologies. If you're passionate about data and eager to make an impact in the financial services sector, this is the perfect opportunity for you.

Benefits

Healthcare benefits

Professional development opportunities

Profit-sharing

Discretionary bonuses

Qualifications

• 5-8 years of experience in AML Financial Compliance technologies.
• Strong statistical background with knowledge in predictive modeling.

Responsibilities

• Design and develop ODI ETL interfaces and packages from various data sources.
• Conduct data analysis and build predictive models for compliance.

Skills

Oracle ODI

PL/SQL

Python

SAS

R

Data Warehousing

Statistical Analysis

Machine Learning

Data Visualization

Data Mining

Education

Bachelor's degree in a related field

Master's degree in a related field

Tools

Oracle ODI

Oracle FCCM Compliance Studio

MS Office Suite

Job description

At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career.

Brown Brothers Harriman is currently recruiting and AML Data Engineer to join our Compliance Systems Team. In this role you will help the team to design and develop a data integration workflow that provides for the extracting, loading, and transforming of data using Oracle ODI. Additionally apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling. The Data engineer must be capable of working in a collaborative environment to support rapid development and delivery of highly demanding projects.

Responsibilities:

• Designing and developing ODI ETL interfaces and packages from several data sources
• Ability to run turn-key analytics from data acquisition, preparation, analysis, and reporting.
• Apply quantitative and qualitative data analysis methods including Python/ SAS/ R to analyze compliance data.
• Prepare statistical and non-statistical data for visualization and exploration, validate data, identify data quality issues in AML and Trade surveillance monitoring projects.
• Contribute towards AML Optimization techniques and related deliverables i.e. Optimizing and tuning monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary;
• Build Machine Learning (Predictive Modeling/ Classification/ Regression) models.
• Conduct data analysis, data mining, read and create formal statistical documentation, and work with Technology and Sponsors to address issues.
• Assist in development of automating predictive modeling for AML and Trade surveillance using OFSAA/FCCM Compliance Studio
• Create Visualizations and report to articulate technical results
• Act as a liaison between technical development and business users and provide solution
• Design and develop Proof of Concepts (POCs) to validate suitability and viability of new technologies and solutions from both functional and technical perspectives.
• Working with project managers, developers, testers and other specialists across multiple teams and locations to make sure that projects meet business needs

Required skills:

• Strong Experience with Oracle ODI in Development, ETL designs, datastores, topology, building objects in Designer, Monitoring Operator, different type of KMs, Agents, etc.
• Strong understanding of relational databases and Data warehousing concepts
• Strong knowledge in PL/SQL, Oracle, SQL
• Strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques
• Experience in creating and assessing Statistical Models
• Good working knowledge of Python/ SAS/ R & MS Office Suite
• Proficient in Data Classification, Clustering and Sampling Techniques (ATL, BTL)
• 5 - 8 years of relevant Working Experience in the AML Financial Compliance space and technologies
• Exposure to AML Transaction Monitoring applications like Oracle OFSAA/FCCM (Mantas) and Actimize will be preferred
• Experience in Oracle FCCM Compliance Studio scenario modelling and simulation will be a plus
• Prior Machine Learning experience will be a plus
• Good Team player, must be self-motivated, have strong analytical skills, plan and manage time effectively, and business focused
• Excellent oral and written communication skills

Salary Range

$110,000 - $160,000

BBH’s compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being.

We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply.

About BBH:

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development—so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another.

We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often—pushing the boundaries of innovation. As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.