Citigroup, Inc

Lead AI/ML Data Scientist - VP

Citigroup, Inc • $120K — $170K *
Mississauga, ON L4T 0A1In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 6+ years of hands-on experience in AI/ML development in financial services, insurance, or telecom.
  • Proficiency in Python, R, and SQL with expertise in libraries like TensorFlow, PyTorch, and Pandas.
  • In-depth knowledge of supervised and unsupervised ML algorithms and techniques.
  • Experience with building and deploying Agentic AI and LLM-based solutions, specifically using LangGraph, LangChain, and ADK.
  • Familiarity with MLOps frameworks, including Apache Airflow and Kubernetes for ML pipeline management.
  • Strong understanding of distributed computing technologies such as Apache Spark and Hadoop.
  • Expertise in cloud data platforms like AWS and tools for data reconciliation and ETL/ELT pipelines.

Responsibilities

  • Design and deploy AI/ML models to tackle complex reconciliation and data engineering challenges.
  • Lead the full ML model development lifecycle, including data preprocessing and production integration.
  • Analyze large financial datasets to identify trends and optimization opportunities.
  • Create ML model roadmaps in collaboration with technical and business teams.
  • Translate complex data insights into visualizations that guide senior leadership decisions.
  • Work with engineering and operations to ensure model integration and performance reliability.
  • Identify technology risks and develop communication strategies for relevant stakeholders.

Benefits

  • Comprehensive model documentation support for continuity.
  • Opportunity to work with advanced AI/ML applications within a global financial context.
  • Cross-functional collaboration opportunities across engineering and operations.
  • Exposure to cutting-edge technologies in an enterprise-scale environment.
  • Commitment to knowledge transfer and team support.
Full Job Description
About the Team:

Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise-scale reconciliation across global processing hubs.

In this role, you will drive the full lifecycle of ML model development - from ideation and architecture through to deployment and adoption - delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real-world financial systems, influencing outcomes at a global scale.

Responsibilities:
  • Design, build, and deploy AI and machine learning models - including Agentic AI and Generative AI solutions - to solve complex reconciliation and data engineering challenges at enterprise scale.
  • Lead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration.
  • Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms.
  • Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards.
  • Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders.
  • Partner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in production environments.
  • Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels.
  • Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams.


Required Qualifications & Skills:

Technical Expertise:
  • 6+ years hands-on experience in AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments
  • Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), R (caret, tidyverse, mlr3), and SQL (PostgreSQL, Oracle, MySQL)
  • Deep technical knowledge implementing supervised and unsupervised ML algorithms: linear/logistic regression, neural networks (CNN, RNN, LSTM, Transformers), k-means clustering, DBSCAN, decision trees (CART, C4.5), and ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
  • Proven experience building and deploying Agentic AI and LLM-based solutions using:
    • LangGraph for complex agent orchestration and state management
    • LangChain for chain-of-thought reasoning and retrieval-augmented generation (RAG)
    • Agent Development Kit (ADK) for enterprise-grade autonomous agent development
  • Production-level experience with MLOps frameworks and infrastructure:
    • Apache Airflow for ML pipeline orchestration and workflow automation
    • Kubernetes for containerized model deployment and scaling
    • Docker for reproducible ML environments
  • Advanced proficiency with distributed computing technologies:
    • Apache Spark (PySpark, Spark MLlib) for large-scale data processing
    • Hadoop ecosystem (HDFS, MapReduce, YARN)
    • Apache Hive for data warehousing and SQL-on-Hadoop
  • Expertise with cloud-native data platforms:
    • AWS S3 for scalable data lake storage
    • Amazon Redshift for enterprise data warehousing
    • AWS SageMaker, Azure ML, or Google Vertex AI (beneficial)
  • Strong background in data reconciliation frameworks, data quality validation, and ETL/ELT pipelines for financial data processing at enterprise scale


Beneficial Skills & Qualifications:
  • Hands-on experience with advanced statistical modeling: Generalized Linear Models (GLM), Random Forest, Gradient Boosting (AdaBoost, XGBoost), and Natural Language Processing (NLP) techniques including text mining, topic modeling (LDA), and sentiment analysis
  • Experience with model versioning and experiment tracking tools (Mlflow, Weights & Biases, DVC)
  • Proficiency with Git/GitHub/Bitbucket for version control and collaborative development
  • Knowledge of CI/CD pipelines for ML model deployment (Jenkins, GitLab CI, GitHub Actions)
  • Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly) and BI tools (Tableau, Power BI)
  • Experience with real-time streaming data frameworks (Kafka, Kinesis)
  • Passion for staying current with emerging AI/ML frameworks, research papers, and open-source contributions


Education:

Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics or related fields of study.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:
Technology

Job Family:
Data Science

Time Type:
Full time

Primary Location Full Time Salary Range:
$120,800.00 - $170,800.00

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

Citigroup, Inc Careers

Join the vibrant team at Citigroup, Inc, a leading global bank, and propel your career into the future. Citigroup offers a plethora of job opportunities that span across various fields and expertise, making it an ideal place for ambitious professionals to thrive.

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At Citigroup, Inc, you will engage in exciting work that matters. Join our team to help innovate and drive transformation in the banking industry. With Citigroup, you can lead initiatives that redefine how banking works and how financial services can empower people globally.

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Diversity and Inclusion

We believe our strength comes from the diversity of our team. Citigroup, Inc is dedicated to fostering an inclusive workplace where everyone can contribute their best work. Through diversity training and a culture that embraces differences, we create a welcoming environment for all employees.

Benefits and Culture

Citigroup, Inc values the well-being of its employees. We offer competitive benefits packages that support the health, finance, and lifestyle of our team members. Our culture is built on collaboration, respect, and a commitment to excellence. We ensure that every team member feels valued and part of our global family.

Internship and Employment Opportunities

Start your professional journey with Citigroup through our internship programs or full-time job opportunities. We are constantly hiring fresh talent and seasoned experts who bring creativity and innovation to our team. Whether you're refining your skills or ready to lead, there's a position waiting for you at Citigroup.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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