The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework.
Responsibilities:
- Serve as a technology subject matter expert for internal and external stakeholders and provide direction for all firm mandated controls and compliance initiatives, all projects within the group and in creating a technology domain roadmap
- Ensure that all integration of functions meet business goals
- Define necessary system enhancements to deploy new products and process enhancements
- Recommend product customization for system integration
- Identify problem causality, business impact and root causes
- Exhibit knowledge of how own specialty area contributes to the business and apply knowledge of competitors, products and services
- Advise or mentor junior team members
- Impact the engineering function by influencing decisions through advice, counsel or facilitating services
- 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:
- 10+ years of relevant experience in an Engineering role
- Experience working in Financial Services or a large complex and/or global environment
- 8+ years’ experience with JAVA(Core Java, J2EE, Spring Boot RESTful Services), Python, Web services (REST, SOAP), XML, Java Script, Micro services, SOA etc
- Proven experience designing and implementing large-scale data solutions for AI/ML applications.
- Extremely strong with data structure, algorithms and design patterns.
- Knowledge on technologies like ELK, Docker, Kubernetes, Azure Cloud, AWS S3 etc
- 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
- Strong proficiency in programming languages such as Python with significant experience in Python for data manipulation and AI/ML pipeline scripting.
- 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
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Systems & Engineering------------------------------------------------------
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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