Tampa, Florida, United States · Hybrid
$97k–$145k/yr
Role Summary We are seeking a highly skilled and motivated Data Scientist at the Assistant Vice President level to join our dynamic team. This role is pivotal in driving data-driven decision-making and innovation within …
Skills: Python, Machine Learning, Statistical Analysis, SQL, Deep Learning
Pune, Maharashtra, India · Hybrid
Title: Angular Software Engineer — Digital Banking Description: Citi is hiring an Angular Software Engineer to join a cross-functional Agile team building customer-facing banking and credit card features across web and m…
Skills: Android Development, iOS Development, Java Spring Boot, BDD, Selenium
Pune, Maharashtra, India · Hybrid
Title: Angular Software Engineer — Digital Banking Description: Citi is hiring an Angular Software Engineer to join a cross-functional Agile team building customer-facing banking and credit card features across web and m…
Skills: Angular, Java Spring Boot, BDD, Selenium, Cucumber
Jacksonville, Florida, United States · Hybrid
$87k–$131k/yr
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 b…
Skills: Application Support, Business Analysis, Technical Program Management, Cloud Technologies, Microservices Architecture
Pune, Maharashtra, India · Hybrid
Title: Android Software Engineer — Digital Banking Description: Citi is looking for an Android Software Engineer to join a cross-functional Agile team delivering customer-facing banking and credit card features across mo…
Skills: Android Development, Angular, Java Spring Boot, BDD, Selenium
Pune, Maharashtra, India · Hybrid
Title: Java Software Engineer — Digital Banking Description: Citi is hiring a Java Software Engineer to join a cross-functional Agile team building customer-facing banking and credit card features across web and mobile d…
Skills: Java, Spring Boot, Angular, Microservices, BDD
Jacksonville, Florida, United States · Hybrid
$126k–$189k/yr
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 b…
Skills: Cloud Architecture, Generative AI, Agentic AI, AWS, Technical Roadmap Development
Mumbai, Maharashtra, India · Hybrid
The Financial Planning and Analysis Intermediate Analyst is an intermediate level position responsible for providing management with an analysis and insight of Citi’s financial results in coordination with the broader Fi…
Skills: Budgeting, Business Acumen, Data Analysis, Digital Skills, Financial Analysis
Bucharest, Romania · On-site
$104k–$166k/yr
The Credit Maintenance Analyst is an intermediate level position responsible for capturing and recording data on credit exposures, obligors and facilities in relevant credit systems in coordination with the Operations - …
Skills: Credit Exposure Monitoring, Data Quality Management, Credit Facility Recording, Risk Assessment, Compliance
Mumbai, Maharashtra, India · Hybrid
The Lead Product Owner is a hands-on position responsible for liaising between key Business / Product stakeholders across the firm and technology to exchange information in a concise and understandable way to promote dev…
Skills: Agile Methodology, Product Ownership, JIRA, Confluence, SAFe Framework
Warsaw, Masovian Voivodeship, Poland · Hybrid
$165k–$281k/yr
This position is responsible for supporting and leading the Global Fund Services EMEA billing team. The person in this role will be performing and instructing the team on client maintenance, invoice production, accountin…
Skills: Billing Management, Client Maintenance, Accounting, Reconciliation, Risk Mitigation
Chiyoda, Japan · Hybrid
The Banker is a senior/intermediate level position responsible for assisting clients in raising funds in the capital markets, as well as in providing strategic advisory services for mergers, acquisitions and other types …
Skills: Debt Capital Markets, Investment Banking, Strategic Advisory, Mergers & Acquisitions, Capital Raising
Bogota, Capital District, RAP (Especial) Central, Colombia · Hybrid
The Client Onboard Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. I…
Skills: Documentation Review, Account Maintenance, Customer Service, Project Management, Risk Assessment
O’Fallon, Missouri, United States · Hybrid
$90k–$135k/yr
Serves as a Compliance Product Senior Analyst for the Governance Pillar of Corporate Functions (Finance, Risk, ESPA, Legal and CSIS) within Independent Compliance Risk Management (ICRM), responsible for assisting with in…
Skills: Analytical Thinking, Business Acumen, Credible Challenge, Digital Skills, Laws And Regulations
Jersey City, New Jersey, United States · Hybrid
$170k–$300k/yr
Spearhead AI-driven Transformation in Investment Banking We are seeking an exceptionally experienced and highly proficient Director of Applied AI Engineering to join our Investment Banking technology leadership team. Thi…
Skills: Applied AI/ML Engineering, LLMs, Retrieval-Augmented Generation (RAG), Java, Spring Boot
Amsterdam, North Holland, Netherlands · Hybrid
$180k–$200k/yr
Citi is looking for an experienced Vice President, Investment Banking to join our Institutional Banking team and serve as a trusted strategic advisor to large corporate clients across capital markets, mergers and acquisi…
Skills: Capital Markets, Mergers And Acquisitions, Financial Modelling, Corporate Valuation, Debt Capital Markets
Mississauga, Ontario, Canada · Hybrid
$112k–$162k/yr
The Client Onboarding Manager is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognize…
Skills: Client Onboarding, Cash Management Solutions, Project Management, Risk Management, Documentation Review
Toronto, Ontario, Canada · On-site
$120k–$150k/yr
Corporate Solutions Group has a multiproduct sales mandate that seeks to originate corporate finance and derivatives based risk management solutions for Corporate clients across North America. Our business is centered ar…
Skills: Financial Modelling, Derivatives Sales, Interest Rate Products, Trade Pricing, Quantitative Modelling
León, Guanajuato, Mexico · Hybrid
The Sales Support Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. In…
Skills: Microsoft Excel, Microsoft Access, Data Analysis, Problem Solving, Analytical Capacity
Chennai, Tamil Nadu, India · Hybrid
The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in c…
Skills: Applications Development, Systems Analysis, Programming, Scripting Tools, Security Analysis
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Lead the end-to-end lifecycle of data science projects to drive data-driven decision-making and innovation. Design and implement sophisticated machine learning models while collaborating with stakeholders to translate business needs into quantitative solutions.
Requires 5-7+ years of experience in data science with expert-level Python and SQL skills. A strong foundation in statistics and experience with deep learning frameworks is essential.
We are seeking a highly skilled and motivated Data Scientist at the Assistant Vice President level to join our dynamic team. This role is pivotal in driving data-driven decision-making and innovation within Citi. The ideal candidate will leverage advanced machine learning (ML) techniques and robust data science capabilities to solve complex business problems, uncover insights, and build scalable solutions that create significant value for the firm and its clients.
You will be responsible for the end-to-end lifecycle of data science projects, from conceptualization and data exploration to model development, deployment, and performance monitoring. This position requires a deep technical expertise in Python, machine learning, and statistical analysis, combined with strong business acumen and the ability to communicate complex findings to both technical and non-technical stakeholders.
Model Development & Implementation: Design, develop, and implement sophisticated machine learning models (e.g., for forecasting, classification, clustering, anomaly detection, and natural language processing) using Python and its core data science libraries (scikit-learn, TensorFlow, PyTorch, Keras).
End-to-End Project Ownership: Lead all phases of the data science project lifecycle, including requirements gathering, data sourcing and wrangling, feature engineering, model training and validation, and deployment into production environments.
Data Analysis & Insights: Perform exploratory data analysis on large, complex datasets to identify trends, patterns, and actionable insights that address key business questions.
Technical Leadership & Mentoring: Provide technical guidance to junior data scientists and analysts. Champion best practices in coding, data science methodologies, and model validation.
Stakeholder Collaboration: Partner with business leaders, product managers, and technology teams to understand challenges, define project objectives, and translate business needs into quantitative analyses and predictive models.
Communication: Clearly and effectively present complex analytical concepts, methodologies, and results to diverse audiences, including senior management.
Innovation & Strategy: Stay current with the latest advancements in the fields of machine learning and artificial intelligence. Proactively identify opportunities to apply novel techniques to drive competitive advantage and operational efficiency.
Governance & Compliance: Ensure all models and data processes adhere to internal risk management policies, regulatory requirements, and model governance standards.
Experience: 5-7+ years of hands-on experience in a data science or quantitative role, with a proven track record of developing and deploying machine learning models in a corporate environment.
Programming Proficiency: Expert-level programming skills in Python, including extensive experience with data manipulation (pandas, NumPy), machine learning (scikit-learn, XGBoost), and deep learning (TensorFlow, PyTorch) libraries.
Database Skills: Strong proficiency in SQL for querying and extracting data from relational databases (e.g., Oracle, PostgreSQL).
Machine Learning Expertise: Deep understanding of both classical machine learning algorithms (e.g., Linear/Logistic Regression, Random Forests, Gradient Boosting) and modern deep learning architectures (e.g., CNNs, RNNs, Transformers).
Statistical Knowledge: Solid foundation in statistics, probability, and experimental design.
Problem-Solving: Exceptional analytical and problem-solving skills with the ability to break down complex problems into manageable components.
Communication: Excellent verbal and written communication skills, with the ability to articulate technical topics to non-technical audiences.
A Bachelor's degree in a similar field with significant, equivalent professional experience will also be considered.
Financial Services Experience: Prior experience working in the financial industry (e.g., banking, risk management, algorithmic trading, fraud detection) is highly desirable.
Full-Stack Capability: Experience or familiarity with full-stack development, including backend technologies like Java and frontend frameworks like Angular, is a plus.
Big Data Technologies: Experience with distributed computing frameworks like Apache Spark (PySpark) and the Hadoop ecosystem.
Cloud Platforms: Hands-on experience with data science and ML services on cloud platforms such as AWS (Sagemaker), Google Cloud (AI Platform), or Azure (Machine Learning).
MLOps: Familiarity with MLOps principles and tools for model versioning (Git), containerization (Docker, Kubernetes), and CI/CD pipelines.
Data Visualization: Proficiency with data visualization tools and libraries.
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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.
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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.
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 over 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. For information on Citi’s commitment to privacy, visit on.citi/privacy.
Offices: 388 Greenwich Street, New York, New York 10013, US · Locations in over 100 countries, http://www.citigroup.com/citi/global/index.htm, 10022, US · 5900 Hurontario St, Mississauga, ON L5R 0B8, CA · 165 Jalan Ampang, Kuala Lumpur, Federal Territory of Kuala Lumpur 50450, MY · Calle 62C O, Panama City, Panama, PA
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 over 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. For information on Citi’s commitment to privacy, visit on.citi/privacy.
Offices: 388 Greenwich Street, New York, New York 10013, US · Locations in over 100 countries, http://www.citigroup.com/citi/global/index.htm, 10022, US · 5900 Hurontario St, Mississauga, ON L5R 0B8, CA · 165 Jalan Ampang, Kuala Lumpur, Federal Territory of Kuala Lumpur 50450, MY · Calle 62C O, Panama City, Panama, PA
