Senior Java Engineer with Big Data, Spark - VP (hybrid)

• Provide strong hands-on engineering leadership driving key architectural decisions and implementing frameworks in the big data space
• Lead a large global project team of software engineers delivering engineering solutions solving complex business problems for Citi’s Market Risk user community which includes Risk management, Sales and Trading, Capital Optimization and Regulatory reporting groups.
• Ensure solutions implemented by the team adhere to the appropriate architectural and data models in the systems. Utilize in-depth knowledge of technical and business domain concepts and procedures within own area and basic knowledge of other areas to resolve issues.
• Enforce SDLC best practices for effectively managing the codebase.
• Influence and negotiate with senior technical leaders from partner teams of software engineers, dev-ops and production support staff to deliver robust software solutions. Ensure the team is collaborating effectively across functions.

• Big data development with extensive hands-on experience with Spark programming
• Strong knowledge of big data technologies like Hive and spark
• Strong Knowledge in one of Java/Scala programming languages
• Experience in designing solutions basec on big data / spark methodology of development
• Should be familiar with algorithms and design patterns
• Familiarity with Linux environment including scripting skills
• SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, Any secure coding toolkits

Knowledge & Experience:

• Proven engineering experience building robust, scalable and maintainable applications in the Capital Markets Technology industry. Ideally 15+ years of application development experience.
• 5+ years in a technical leadership role, with experience leading global technology teams.
• 5+ years of hands-on experience in Big Data development using Spark, Hive on batch and real time processing
• Experience with Market Risk is a significant advantage., * Excellent oral and written English
• Strong leadership
• Ability to collaborate effectively in a large global team and influence key architectural decision
• Ability to work well under pressure

Education:

• Graduate in a STEM (Science, Technology, Engineering and Mathematics) discipline. Master’s degree an advantage?

Citi is a leading global financial services company having 200 million customer accounts. Citi does business in more than 100 countries, providing consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage and wealth management.

This role will be part of the Financial Risk Technology Team in Citi’s Institutional Clients Group (ICG). Our goal is to build a strong culture of engineering and delivery where we put the business first while achieving all their complex goals of consistency, performance, efficiency, and transparency that a bank of the magnitude of Citi needs. This team is responsible for delivering market and credit risk technology and software solutions for Citi’s Front Office and Back Office Risk Management, which is an independent global function that is responsible for managing market, credit, operational, country, and underwriting risks that are embedded in the activities of its worldwide customer base. Software solutions from this group include high-throughput feed processing engines to process factor sensitivities and market data, high-performance pricing calculation engines that run on compute grids as well as large in-memory servers to calculate Value at Risk (VaR), Stress Testing and limit utilization calculations, and high-availability big data lakes for sharing risk metrics and stress results with Front Office, Risk, and Finance organizations. Roles in this team will provide candidates with a unique engineering opportunity to work on best-in-class software solutions for Front Office and Back Office Risk Management with latest commercial-off-the-shelf and cloud-enabled technology stack.