Job Description
This is a development position for establishing and implementing new or revised applications and programs in the Technology team. You will be responsible for data extraction and data analysis from structured and unstructured sources, develop systems to clean results, build predictive and prescriptive models, and implement them in a production environment by partnering with technology and business partners. Your focus will be on complex financial data issues related to credit risk management, and you will keep an open and adaptive mindset to learn new and advanced models in LLM and GenAI, bringing innovative solutions to complex business problems.
Responsibilities
- Architect, design and implement robust Python‑based solutions.
- Lead global technology teams across different time zones, enabling a hybrid work model.
- Drive object‑oriented programming (OOP) principle‑based development and mentor team members to use advanced Python coding techniques.
- Partner with multiple management teams to ensure appropriate integration of functions, meet goals, and define necessary system enhancements for new products and process improvements.
- Resolve high‑impact problems and projects through in‑depth evaluation of complex business processes, system processes, and industry standards.
- Provide expertise in application programming and ensure design adheres to the overall architecture blueprint.
- Develop standards for coding, testing, debugging, and implementation based on advanced knowledge of system flow.
- Develop comprehensive knowledge of how business areas such as architecture and infrastructure integrate to accomplish business goals.
- Provide in‑depth analysis to define issues and develop innovative solutions.
- Serve as advisor or coach to mid‑level developers and analysts, allocating work as necessary.
- Experience writing and using shell script and other Linux features.
- Implement unit testing and test‑driven development to ensure software quality and maintainability.
- Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and compliance with applicable laws and regulations, and escalating control issues with transparency.
- Proactively manage work and responsibilities.
Qualifications
- 5+ years of industry experience as a data scientist, specializing in machine learning modeling, ranking, recommendations, or personalization systems.
- 5+ years of experience designing and developing scalable, reliable machine learning systems for training, inference, monitoring, and iteration.
- Strong background in machine learning, deep learning, LLM algorithms, model architectures, and training techniques.
- Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model‑building languages.
- Proficiency with tools and LLMs.
- Ability to work independently as well as collaboratively within a team.
- Experience in GenAI/LLM projects.
- Familiarity with distributed data/computing tools such as Hadoop, Hive, Spark, MySQL.
- Background in financial business‑like banking and risk management.
- Familiarity with capital markets, financial instruments, and modeling.
Education
- Bachelor’s degree in STEM or equivalent experience.
- Master’s or PhD in computer science, data science, statistics, mathematics, engineering or a 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
Benefits
In addition to salary, Citi offers discretionary and formulaic incentive and retention awards. Employee benefits include medical, dental and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Paid time off includes planned time off (vacation), unplanned time off (sick leave), and paid holidays. Visit citibenefits.com for more information.
Anticipated Posting Close Date
Jul 03, 2026
Equal Employment Opportunity Statement
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Citi provides reasonable accommodation for people with disability. Citibenefits.com and Citi’s EEO policy statement provide additional information. Accessibility at Citi is available for those who need it.