Artificial Intelligence/Machine Learning Specialist (Hybrid)

Overview of the Role

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 broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Artificial Intelligence/Machine Learning Specialist is an intermediate level position responsible for driving efforts to prevent, monitor and respond to information/data breaches and cyber-attacks. The overall objective of this role is to ensure the execution of Information Security directives and activities in alignment with Citi's data security policy.

Responsibilities:

• Identify opportunities to automate and standardize information security controls and for the supported groups leveraging the qualifications listed below.

• Analyze source code to mitigate identified weaknesses and vulnerabilities within the system

• Review and validate automated testing results and prioritize actions that resolve issues based on overall risk

• 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:

• 6-10 years of relevant experience using tools for statistical modeling of large data sets

• 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
   

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

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

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Job Family Group:

Technology

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Job Family:

Information Security

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

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.

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Anticipated Posting Close Date:

Nov 19, 2024

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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.

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