The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
- Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
- Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
- Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
- Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
- Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
- Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
- Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
12+ years of relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment.
3+ Years of experience on BigData Technologies like Apache Spark , Hive, Hadoop & Storm.
Extremely strong with data structure, algorithms and design patterns.
Strong proficiency in programming languages such as Python with significant experience in Python for data manipulation and AI/ML pipeline scripting.
Knowledge on technologies like ELK, Docker, Kubernetes, Azure Cloud, AWS S3 etc
Proven experience designing and implementing large-scale data solutions for AI/ML applications.
Knowledge on NOSQL Databases like MongoDB, Hbase, Cassandra etc.
Knowledge in version control systems (e.g Git) and CI/CD pipelines.
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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Skills Required
- 12+ years of relevant experience in an Engineering role
- Experience working in Financial Services or a large complex/global environment
- 3+ years of experience with Big Data technologies (Apache Spark, Hive, Hadoop, Storm)
- Strong knowledge of data structures, algorithms, and design patterns
- Strong proficiency in Python, including data manipulation and AI/ML pipeline scripting
- Knowledge of ELK (Elasticsearch/Logstash/Kibana), Docker, Kubernetes, Azure cloud, AWS S3
- Proven experience designing and implementing large-scale data solutions for AI/ML applications
- Knowledge of NoSQL databases (MongoDB, HBase, Cassandra)
- Familiarity with version control (e.g., Git) and CI/CD pipelines
- Bachelor's degree or equivalent experience
- Master's degree
- Clear and concise written and verbal communication skills
- Ability to work in a matrix environment and partner with virtual teams
- Ability to work independently, multi-task, and take ownership
- Ability to work under pressure and manage tight deadlines
- Proven track record of operational process change and improvement
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
