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The Specialized Analytics Ld 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.
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 (e.g. SQL, Access) to help predict, improve, and measure the success of key business drivers 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
Specialization in marketing, risk, digital and AML fields possible
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Company, 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.
Independently manage multiple projects end-to-end to drive business impacts.
Develop, maintain and improve industry leading targeting and behavioral models that deliver business results that meet and exceed our goals.
Continuously improve modeling and strategies by exploring and evaluating new machine learning methods, data sources, tools, capabilities and processes.
Work closely with internal and external business partners in building, implementing, tracking and improving models and strategies
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
1.5+ years of working experience in a quantitative field and Financial industry (e.g., bank, cards and/or mortgage)
1+ years of statistical modeling and machine learning experience
Demonstrated ability in data retrieving and manipulation as well as excellent analytic ability and problem solving skills
Proficient in Microsoft Office including excellent MS Excel skills to develop analytic presentations
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
Strong ability to build partnerships with cross-functional teams
Self-motivated and demonstrated ability to independently manage multiple projects in parallel and drive results
Solid understanding and expertise in Machine Learning methods (e.g., Deep Learning)
Graduate level degree in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Physics, Artificial Intelligence or other quantitative related field is preferred
Extensive experience with Python and familiarity of Big Data analytical environment (e.g., AWS) are preferred
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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