Job description

Job Description This a development position for establishing and implementing new or revised applications and programs in the Technology team. As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems. Responsibilities: • Architect, Design, and implement robust Python-based solution • Lead global Technology Teams across different time zones, enabling a hybrid work model • Drive Object-Oriented Programming (OOPS) principle-based development and mentor team members to leverage advanced python coding techniques and features • 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 • Experience in using writing and using shell script and other Linux features • Implement Unit Testing and TDD to ensure software quality and maintainability • 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. • Proactive. Qualifications: • 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems. • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. • Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. • Proficiency with tools and LLMs. • Ability to work independently and collaboratively within a team. • Preferred Skills: • Experience in GenAI/LLMs projects. • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). • Background in financial business-like banking, risk management. • Should be familiar with capital markets and financial instruments and modeling Education: • Bachelor’s degree/University degree or equivalent experience in STEM • PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Rutherford New Jersey United States ------------------------------------------------------ Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jul 03, 2026 ------------------------------------------------------ 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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

This a development position for establishing and implementing new or revised applications and programs in the Technology team.
Architect, Design, and implement robust Python-based solution
Lead global Technology Teams across different time zones, enabling a hybrid work model
Drive Object-Oriented Programming (OOPS) principle-based development and mentor team members to leverage advanced python coding techniques and features
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
Experience in using writing and using shell script and other Linux features
Implement Unit Testing and TDD to ensure software quality and maintainability
5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
Proficiency with tools and LLMs.
Ability to work independently and collaboratively within a team.
Bachelor’s degree/University degree or equivalent experience in STEM

Nice-to-haves

Experience in GenAI/LLMs projects.
Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
Background in financial business-like banking, risk management.
Should be familiar with capital markets and financial instruments and modeling

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmpythonmlmachine learningsqlaccessibility

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness