We are seeking a skilled individual to join our team as a Data Analyst / Logical Data Modeler.

Position: Data Analyst / Logical Data Modeler – Custody & Settlement (MT Messaging)

Type: Contract to Hire

Location: New Jersey (Onsite role)

About Us: Digital Alpha Platforms is a NY-based data and AI firm with a focus on financial services. In the realm of digital transformation, our distinctiveness lies in the seamless fusion of transformative solutions, cloud technologies, and a dynamic team comprising financial technology experts from prestigious institutions such as McKinsey, Bloomberg, Goldman Sachs, JP Morgan Chase, and Deloitte. As AWS partners with badges including AWS Financial Services Competency, AWS Data Analytics Competency, and Well-Architected Partner status, we harness the power of innovative cloud capabilities. This allows us not only to redefine current business operations but also to propel your enterprise toward a future marked by unrivalled digital excellence. Beyond tackling today's challenges, our commitment is to sculpt a path for your business that outpaces the expectations of tomorrow's digital landscape.

Summary of Responsibilities:

• Document and analyze data attributes used across custody, trading, and settlement workflows
• Collaborate with business stakeholders to understand operational processes such as trade capture, settlement, corporate actions, and reconciliations
• Identify and define core data elements (e.g., ISIN, settlement date, counterparty BIC, trade ID, place of settlement) relevant to SWIFT MT messages (e.g., MT540–549, MT564, MT940)
• Translate business understanding into logical data models using standard modeling tools and techniques
• Ensure data structures align with SWIFT message formats and internal system requirements
• Build conceptual and logical models that can be used as a foundation for integration, reporting, and reference data management

What We’re Looking For:

• Understanding of Securities Services domain – particularly custody, settlement, and clearing
• Ability to read and interpret SWIFT MT messages and identify relevant data fields
• Comfortable working with data dictionaries, attribute-level documentation, and source-to-target mappings
• Experience or foundational knowledge of logical data modeling (e.g., entities, attributes, relationships) and standard modeling notations (e.g., crow’s foot)
• Strong communication skills to bridge the gap between business users and technical teams

Ideal Candidate Traits:

• Curious and structured thinker who asks “What does this data field represent?”
• Can take a business workflow and break it down into data terms
• Has a working knowledge of MT messages and how they relate to internal custody operations
• Can document what they learn clearly (attributes, sources, logic) and propose clean, reusable models