Diverse Lynx
Technical Skills:
Data Analysis & Modeling
Product Strategy & Roadmap
Data Analysis & Modeling
- Strong SQL for querying legacy systems and validating migrations.
- Ability to design canonical data models for investor, position, and trade data.
- Knowledge of data mapping, transformation rules, and reconciliation techniques. API & Integration Knowledge
- Understanding of RESTful APIs, event-driven architecture, and microservices.
- Ability to define API contracts, payload structures, and error handling requirements.
- Familiarity with message queues (Kafka, MQ) for real-time trade/event processing. ETL & Data Migration.
- Experience with ETL tools (Informatica, Talend, or similar).
- Knowledge of data quality frameworks, lineage, and governance. Agile Tools & Practices
- Proficiency in Jira and Confluence for backlog management and documentation.
- Writing BDD/Gherkin acceptance criteria for automated testing.
- Familiarity with CI/CD pipelines and DevOps concepts for release readiness. Reporting & Analytics
- Ability to define reporting specs for broker-dealer and regulatory outputs.
- Understanding of BI tools (Power BI, Tableau) for dashboards and operational insights.
- Experience in banking/financial services domain (BFSI).
- Familiarity with technical leadership for modernization programs.
- Knowledge of DevOps practices and observability tools.
Product Strategy & Roadmap
- Define and communicate the modernization vision: scalable omnibus recordkeeping, resilient trade processing, accurate investor/position data, and transparent reporting.
- Build a migration roadmap: wave planning
- Prioritize features balancing business value, regulatory obligations, technical feasibility, and operational risk.
- Lead reverse-engineering of the source system (tables, batch jobs, reports, screens, interface specs).
- Produce field-level mappings and transformation rules for investor details, positions, cost basis/tax lots, omnibus accounts, and broker-dealer reporting.
- Author the canonical data model specifications and API/event contracts for modern services.
- Maintain traceability: Source Requirement (SR-ID) Epic/Feature Story Test cases UAT sign-off.
- Create and refine epics/features/stories with Given-When-Then acceptance criteria and DoR/DoD definitions.
- Run backlog grooming, sprint planning, and cross-team dependency management; drive PI Planning where applicable.
- Accept stories based on measurable outcom es (accuracy, performance, resiliency, observability, compliance).
- Define TO-BE processes for trade intake, netting, cut-offs, settlement/NAV dependencies, reconciliation, and break management.
- Establish operational controls (SLAs, exception workflows, audit trails, data lineage, retention).
- Partner with Compliance/Risk to embed regulatory requirements (e.g., cost basis, reporting, AML/KYC insights, 22c-2 analytics).
- Align broker-dealer operations, fund accounting, technology, data engineering, and compliance on goals and release plans.
- Conduct workshops/demos; publish release notes and operational runbooks; manage change impacts and training.