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AVP, Specialized Analytics Sr Analyst (Hybrid)

Job Req ID 25823911 Location(s) Wilmington, Delaware Job Type Hybrid Job Category Decision Management
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The Specialized Analytics Sr Analyst 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. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

  • Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies.

  • Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business to business outcomes.

  • Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques.

  • Incumbents in this role may often be referred to as Data Scientists. Responsible for developing and maintaining models.

  • 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:

  • 5-8 years of experience

  • Extensive Experience in Consumer Banking

    oDeep understanding of consumer banking products such as credit cards, retail banking, and loans.

    oExpertise in various banking functions including Marketing, Risk Management, Operations, Fraud, AML/KYC.

    oAbility to develop business cases to identify opportunities for cost savings, revenue enhancement, and customer experience improvements.

    oIn-depth knowledge of banking regulations, guidelines, and governance (e.g., Reg B, ECOA, SR 11-7) and experience handling audits.

    oExperience with Model Risk Management practices.

  • Advanced Data Science and Technical Skills

    oExpertise in data retrieval, manipulation, and analysis, with a strong ability to solve complex analytical problems.

    oExperience in A/B testing and experimental design to support model development and business decisions.

    oDeep knowledge of algorithmic techniques, including Clustering, Decision Trees, Collaborative Filtering, Linear and Logistic Regression, Random Forest, Gradient Boosting, and Neural Networks.

    oStrong expertise in Feature Engineering.

    oProficiency in developing and deploying Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI models.

    oExperience with Cloud-based ML platforms (e.g., AWS SageMaker, Google Vertex AI, Azure, Snowflake).

    oSolid understanding of Big Data architecture (e.g., Hadoop) and version control software (e.g., GitHub, Bitbucket).

    oProficient in programming languages such as Python, R, SQL, and PySpark.

    oAdvanced understanding of data collection, exploration, visualization, and statistical analysis.

    oExperience in exploring and experimenting with generative models (e.g., OpenAI, Google Gemini, Vertex Llama) for business applications.

    oStrong understanding of model evaluation metrics, best practices, and the ability to apply them to ensure high model performance.

    oAbility to contribute to technical documentation and ensure compliance with Legal, Fair Lending, and regulatory requirements.

    oUnderstanding of linear optimization techniques for solving business problems.

  • Soft Skills & Leadership

    oProficient in MS Excel, PowerPoint, and Word, with the ability to develop analytic presentations and communicate insights effectively.

    oExceptional ability to build partnerships and work effectively with cross-functional teams.

    oAgile mindset with a focus on rapid experimentation and iterative development of new models and solutions.

    oStrong project management and time management skills, ensuring timely and successful project completion.

    oExcellent written and oral communication skills, with the ability to translate complex technical concepts into clear business language.

    oExpertise in creating compelling presentations and decks, tailored to various audiences including executive leadership


Education:

  • Bachelors/University degree, Master’s degree preferred in a quantitative analysis field (e.g., math, physics, computer science, statistics, engineering and economics)


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:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

Wilmington Delaware United States

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Primary Location Full Time Salary Range:

$107,120.00 - $160,680.00


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:

Jan 30, 2025

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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.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

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