Responsible for sourcing, analyzing, documenting and maintaining data assets related to Corporate and Institutional Group portfolio and operational processes.
Ensure processes deliver data that are accurate, complete, current, understandable and accessible.
Lead projects end to end independently.
Help design, build, and support AI‑driven applications across AWS and Azure cloud environments.
Contribute to machine learning pipelines and distributed application components.
Collaborate with senior engineers and architects.
Take ownership of issues through resolution, including close coordination with line of business partners.
Develop solutions and recommendations for improving data integrity issues.
Analyze data issues and work with development teams for problem resolutions.
Train junior team members in coding efficiently and accurately.

Bachelor's degree and 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
Demonstrated knowledge and skill in strategic data assets warehousing and transactional application data concepts
Proven experience with data engineering and ability to manage large data volumes
Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies
Strong familiarity with data extraction in a variety of environments (e.g., SQL, SAS, etc.)
Experience in managing multiple projects with tight deadlines in a collaborative environment
Maintain a high level of competency in analytical principles, tools, and techniques.

Medical, dental, vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment insurance
Tax-preferred savings accounts
401k plan
No less than 10 days of vacation in the first year
10 sick days in the first year
Paid holidays
Possible eligibility for pension plan, restricted stock units, and deferred compensation plan

Data Architect, Data Engineer III, AI/ML Engineer

Key skills