Citi Group Data Science Sr Lead Analyst - SVP 

United States, Texas, Irving 

817084747

About Citi:

Citi’s Functions Technology is responsible for delivering Technology solutions to Citi's Functions organizations. Functions Technology mission is to optimize Citi's Technology environment by delivering world class applications, driving standardization of the production environment, reducing complexity, optimizing management of systems supporting global functions such as Compliance, Controls, Internal Audit and Risk, and introducing innovative technologies that provide new business capabilities, reduce the technology total cost of ownership, and create a competitive advantage for Citi.

Responsibilities:

• Work as Lead for a suite of applications for the Internal Audit team.

• Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives

• Consults with users and clients to solve complex system issues/problems by conducting strategic data analysis, identifying insights and implications and making strategic recommendations, developing data displays that clearly communicating complex analysis

• Mines and analyzes data from various banking platforms to drive optimization and improve data quality

• Deliver initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan

• Understand requirements and code and unit test required components

• Report progress on work and work collaboratively with the existing global team

• Keep abreast of latest technological happenings in his work area and bring relevant ideas/concept to the table

• Leads system change process from requirements through implementation; provides user and operational support of application to business users

• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams

• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information

• 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:

• 12+ years experience using tools for statistical modeling of large data sets

• Process Improvement or Project Management experience

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

The ideal candidate should have past experience in the following areas:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Understand & analyze business problems and try and find solutions by using tools involving AI/ML, Large Language models.

• Analyzing the ML algorithms/LLMs that could be used to solve a given problem and ranking them by their success probability.

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

• Verifying data quality, and/or ensuring it via data cleaning

• Supervising the data acquisition process if more data is needed

• Finding available datasets that could be used for training

• Defining validation strategies

• Defining the preprocessing or feature engineering to be done on a given dataset

• Store preprocessed data for quick lookup when applicable

• Defining data augmentation pipelines

• Training models and tuning their hyper-parameters

• Analyzing the errors of the model and designing strategies to overcome them

• Tuning models

• Capability to identify pertinent models fit for the problem at hand

Anticipated Posting Close Date:

View the " " poster. View the .

View the .

View the