Business Analyst+Data Modeler - Senior

Job Description

• Design and develop sophisticated data models for trade data related to various financial instruments, ensuring alignment with business needs and regulatory requirements.
• Work closely with the Director, Data and Architecture Services, Trade Data, to understand strategic objectives and contribute to the overall data architecture strategy.
• Collaborate with business analysts, data engineers, and IT teams to gather requirements and translate business needs into technical specifications.
• Create and maintain logical and physical data models, ensuring optimal performance and compliance with internal and external standards.
• Ensure data models are flexible and scalable to support the introduction of new products and adapt to changes in market practices.
• Manage metadata repositories and data dictionaries, promoting data quality and consistency across the organization.
• Review data models with stakeholders, validating design decisions and ensuring data integrity.
• Advise on data normalization, storage solutions, and efficient data retrieval methods.
• Participate in data governance initiatives, supporting the development and enforcement of data policies and standards.
• Stay abreast of industry trends, tools, and regulatory changes that impact data modeling and capital markets.
• Qualifications: • bachelor's or master's degree in computer science, Information Systems, Finance, or a related field. • Minimum of 5 years of experience in data modeling, with a strong preference for candidates with capital markets experience. • Expert knowledge of financial products, trade lifecycle, and market data. • Demonstrated experience in modeling trade data using industry-standard protocols and schemas such as FpML (Financial Products Markup Language), ISDA CDM (International Swaps and Derivatives Association Common Domain Model), FIX (Financial Information exchange), SWIFT, or ISO20022. • Proficiency in data modeling tools (e.g., Erwin, PowerDesigner, IBM Data Architect) and familiarity with database technologies (SQL, NoSQL). • Experience with data warehousing, ETL processes, and big data platforms. • Excellent analytical, problem-solving, and organizational skills. • Effective communication skills, with the ability to interact with a variety of stakeholders. • Understanding of financial regulations (e.g., GDPR, MiFID II, Dodd-Frank) and their impact on data management. • Ability to work independently as well as collaboratively in a team environment. • Relevant professional certifications (e.g., CFA, FRM) are considered an asset.

Mandatory Competencies