Senior Java/C# Developer - Market Risk

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Risk and Compliance Transformation - Technical Developer:

The opportunity

We are looking for a Technical Developer in the Risk and Compliance Transformation team, with 4-9 years of hands-on development and design experience with preferred prior experience in product-based IT development, involving full stack engineering (front-end, back-end), machine learning and AI-driven development, and DevOps. In this role, you will play a dual role - a) of creating source code catering to target state functional specifications and b) support the team for overall product or project delivery involving code review, design review, team member technical coaching, etc.

EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Risk and Compliance Transformation practice works with clients to analyze, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surrounding business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY's DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations.

Your key responsibilities:

• Use working experience to amend design (commensurate to functional specifications) and demonstrate hands-on development of product features, with utmost efficiency and optimization of source code.
• Wherever needed, challenge status quo for tech stacks, API choices to include most efficient industry practices, balancing the time to market for the product at hand.
• Coach and mentor team members technically as needed, including performing code reviews.
• Demonstrate the right ways of development in all facets of software development (front end, back end, APIs, data layers, 3rd party integrations and AI models) (lead with walk-the-talk mindset).
• Map functional specifications to product features to ensure coverage and accuracy of product.
• Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed.
• Perform techno-functional testing (QA) for product features getting implemented as per the functional specifications.
• Automate testing wherever possible using most feasible approaches (Excel/VBA or Python or any available tools).
• Partner with architects and application teams for secure solution delivery.
• Provide functional support to all phases of delivery (sprints, testing, hypercare, etc.).
• Ability to guide and coach junior TAs and testers in the team.

Skills and attributes for success:

Required Skills:

• 4-9 years of technical source code development experience, with the right mix of design leadership, hands-on development and overall technical leadership.
• Working experience in Market Risk domain (any 1 or more subject areas of Counterparty Credit Risk, SA-CCR, FRTB, VaR, SVaR, CVA, and Derivative Pricing).
• Working experience in Core Java, OOP, Collections, Multithreading, Concurrency, JVM, Spring Boot, Microservices, REST APIs, Kafka, SQL/NoSQL, Design Patterns, JUnit/Mockito, Docker, Kubernetes, CI/CD, AWS/Azure, Performance Tuning.
• C#, ASP.NET Core.
• Back end including API creation (Django or FastAPI), microservices and data integration, data structures and algorithms.
• Cloud and DevOps: working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implementing CI/CD pipelines, with version control (Git).
• Python-driven machine learning model implementation (MLOps) and AI model ops.
• Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB).

Good to have:

• Front end (either of Angular, React, or similar).
• MEAN or MERN stack exposure.
• Node.js exposure.
• BI platforms (Power BI or alike).

Preferred Qualifications:

• Certifications: any cloud certifications (Azure preferred, but AWS and GCP acceptable).
• AI or ML certifications.

Education:

Degree: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.