Description

You will design and develop conceptual, logical, and physical data models for transactional, analytical, and reporting systems.

This role is hybrid.

Responsibilities

• Partner with banking and wealth management stakeholders to translate business requirements into high-quality data models for investment products, portfolios, and regulatory reporting.
• Design architectures supporting data warehousing, data lakes, and data mesh environments.
• Support data governance, data quality, and master data management initiatives.
• Ensure data models comply with industry standards such as BCBS 239, CCAR, MiFID II, and privacy regulations like GDPR and CCPA.

Required Skills

• 6+ years of experience in data modeling.
• 3+ years of experience within the banking or wealth management domain.
• Hands-on experience with data modeling tools such as Erwin, ER/Studio, or PowerDesigner.
• Deep knowledge of financial data structures including accounts, transactions, holdings, asset classes, and risk metrics.
• Expertise in relational databases including Oracle, SQL Server, and PostgreSQL.
• Familiarity with big data platforms like Hadoop, Snowflake, or Databricks.
• Working knowledge of reference data management, market data, and KYC/AML data.
• Any Graduate degree.

Preferred Skills

• Experience with WealthTech platforms such as Avaloq, Temenos, Charles River, or InvestCloud.

Key Skills

Education

Any Graduate