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Citicorp services India private Limited · posted 3 months ago
Job Description
The Credit Risk Technology Team is responsible for delivering Counterparty Credit Risk Management software solutions to Citi's Risk organization and RWA integrity team for regulatory reporting. This team manages Citi's exposure to financial institutions, governments, and corporates that trade with Citi. The team builds and maintains software used to compute metrics that help mitigate Citi's exposure to counterparty default, including computation of Collateral Allocation for Portfolios, Haircut for Security and Cash Collateral, Collateral Concentration Levels, Wrong Way Risk, Pre-settlement exposure, Exposure At Default, and Risk-weighted assets, amongst others.
The successful candidate will develop Java and J2EE software applications that comply with written and verbally agreed specifications, to agreed timescales and quality criteria. The role involves working with 4-6 developers and reporting regularly to the Project Manager on progress and issues.
Key responsibilities include:
Keep applications lean, resilient, robust, self-healing, and scalable.
Taking ownership of all applications in the assigned sub-domain within Risk Technology.
Interacting with Business users / Business Analysts to understand the requirements.
Ensuring complete understanding of application code through compilation, code walkthrough, execution flow, and overall design.
Performing local compilation, deployment, and behavior/Unit testing.
Identifying areas for code changes to meet required functionalities and maintain traceability.
Participating in design review, code review, and project review meetings (local/global).
Hands-on development using required IDEs & related plugins, SQL client.
Unit testing, Integration testing, UAT/SIT support.
Managing Code check-ins, check-outs, merges, and build management.
Maintaining technical thought leadership and disseminating knowledge to the team and peers.
Bringing excellence in terms of behavioral, technical, and architectural leadership in collaboration with global teams.
Object-Oriented Design skills.
Solid knowledge of Core Java, J2EE.
Core Java concepts: Threading, Collections, Synchronization, Locking, Annotations, Generics.
Spring Core, Spring Batch.
Ability to write SQL Queries and PL/SQL to analyze data.
Good knowledge of design patterns.
Build scripts like Ant, Maven.
Experience with any version of Eclipse as a development environment.
ETL, ELT, and data warehousing concepts.
Extensive development experience (minimum 8+ years) in designing and building applications.
Java/J2EE/RDBMS/Unix Shell Scripting.
Microservices on cloud.
Experience in NoSQL DB like MongoDB or any cache.
Caching Frameworks.
IOC framework like Juice.
Development Best Practices.
Test-driven development.
Experience with Caches (e.g., GemFire/Redis/Hazelcast).
Ensuring processes are followed and driving efficiency.
SDLC Aware & coordination and working with remote teams.
Knowledge of quality issues in software development.
Experience working cooperatively in small to medium-sized teams.
Proactive and self-motivated.
Good problem solver.
Ability to understand human issues/sentiments and channelize them for better delivery.
Good design and coding discipline.
Ability to troubleshoot conflicts and people issues.
Strong design & execution bend of mind.
Conceptual understanding of design patterns.
Thorough understanding of OO methodologies.
Passion for technology and self-starter.
Orientation towards disciplined development processes.
Education:
B.Tech from a top engineering college/university, preferably in Computer Science, EE, or ECE branches.
Candidates with a passion for coding and systems development from other disciplines may also apply.
A substantial part of experience should be in top-notch IBs/Banks and product companies.
AI Co-pilot / AI Tools for Development:
Experience with AI co-pilot and other AI-driven development tools is highly valued. The ideal candidate will be proficient in leveraging these tools to enhance productivity, code quality, and accelerate development cycles. This includes:
Efficient Prompting: Demonstrating expertise in crafting clear, concise, and effective prompts to maximize the utility of AI co-pilots for code generation, debugging, refactoring, and documentation.
Code Optimization: Utilizing AI tools to identify and implement performance improvements, security enhancements, and adherence to best practices within Java/J2EE applications.
Automated Testing Support: Employing AI capabilities to generate test cases, analyze code coverage, and streamline testing processes for faster and more reliable deployments.
Knowledge Sharing: Promoting the adoption of AI development tools within the team and contributing to best practices for their efficient and accurate use.