L2/L3 Production Support – Assistant Vice President
Listed on 2026-02-16
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IT/Tech
Data Engineer, IT Support, Cybersecurity, Data Analyst
Overview
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides 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, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. Our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do—from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience.
We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride.
If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
We are seeking an experienced L2/L3 Production Support - AVP to join our Production/Application support team in a dynamic Fintech/Liquidity reporting environment.
The ideal candidate will bring a blend of strong technical skills (Unix, SQL, Big Data technologies) and deep domain expertise in financial services (e.g.:
Securities, secured financing, rates, Liquidity reporting, Derivatives, front office/back-office system, trading lifecycle).
This role requires someone who thrives in a high-pressure environment, can troubleshoot complex production issues, understands the full trade lifecycle, and can bridge the gap between critical business users and technical teams.
Key Responsibilities- Provide L2/L3 production support for mission critical liquidity reporting and financial applications, ensuring high availability and performance.
- Monitor and resolve incidents related to trade capture, batch failures, position keeping, market data, pricing, risk and liquidity reporting.
- Engage with operations, traders, quants, and development teams to understand and resolve production outages/issues.
- Proactively manage alerts, logs and jobs using Autosys, Unix tools, and monitoring platforms (ITRS/AWP).
- Execute advanced SQL queries and scripts for data analysis, validation, and issue resolution.
- Support multiple applications built on stored procedures, SSIS, SSRS, and Big Data ecosystems (Hive, Spark, Hadoop) and troubleshoot data pipeline issues.
- Maintain and improve knowledge bases, SOPs, and runbooks for production support.
- Participate in change management and release activities, including deployment validations.
- Lead root cause analysis (RCA), conduct post-incident reviews, and drive permanent resolutions.
- Collaborate with infrastructure teams on capacity, performance, and system resilience initiatives.
- Contribute to continuous service improvement, stability management and automation initiatives.
Skills & Qualifications
- Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
- 5-8 years of experience in application or production support with 2+ years at a lead level.
- Strong hands-on experience with SQL (MSSQL/Oracle or similar, Stored proc, SSIS, SSRS). Experience with Unix/Linux (scripting, file manipulation, job control) and Big Data technologies (Hadoop, Hive, Spark).
- Job Schedulers like Autosys.
- Log analysis tools.
- Solid understanding of financial instruments and trade lifecycle (Equities, Fixed…
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