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As a Quantitative Risk Analyst, conduct model validation, assess financial risk exposures, perform quantitative analysis, and mentor junior analysts, while collaborating across Fidelity's teams.

Perform independent and integrated audits of business and technology processes, test controls, analyze data, draft audit reports, and collaborate with stakeholders to identify control deficiencies and recommend remediation.

Design, build, test, deploy, and maintain large-scale database and ETL batch applications on-premises and in cloud (AWS/Azure). Implement CI/CD, automated and user-acceptance testing, and migration of workloads to cloud. Optimize performance for high-volume transactions, create reproducible deployment pipelines, and produce documentation and curated datasets for analytics and customer-facing solutions.

Lead data analysis and engineering efforts: profile, transform, and model large-scale datasets; build cloud data platforms and data lakes; create dashboards and reports; automate workflows; document data lineage; apply NLP/ML techniques; translate business requirements into scalable data solutions; collaborate across stakeholders and deliver Agile-focused analytics projects.

Designs, develops, and maintains web applications and microservices using Java and Spring Boot. Builds and sustains automated API test frameworks, CI/CD pipelines, and reusable test artifacts; performs API and database validation across environments. Participates in testing, user acceptance, documentation, and post-installation troubleshooting for multiple projects.

Lead design and development of electronic trading systems, ensuring scalability and performance while mentoring engineers and collaborating across teams.

Lead systems analysis and Agile delivery for client servicing applications, translate business needs into user stories, manage backlogs and priorities, validate solutions, and collaborate with engineering to design scalable Salesforce-based solutions.

Lead design, develop, and maintain automated test frameworks for web apps and APIs. Integrate automation into CI/CD pipelines, execute complex manual/automated tests, coordinate test plans, mentor team members, perform risk analysis and drive quality process improvements.

Design and deliver enterprise conceptual, logical, and physical data models across multiple platforms. Lead data strategy, create source-to-target mappings, DDL/DML scripts, and ETL/design documentation. Collaborate with architects, engineers, and business stakeholders to implement scalable Snowflake/AWS data warehouses, lakes, and reporting solutions; mentor junior modelers and advise senior leadership.

Design and build cloud-native data warehousing and ELT/ETL solutions, develop data pipelines and BI reports, lead data architecture, ensure QA/CI-CD/DevOps practices, mentor engineers, and manage complex projects to deliver compensation-related analytics for financial services clients.