C12 - AVP Data Scientist - Analytics & Information Management (AIM), Gurugram

Assistant Vice President, Data Science (C12)
Analytics & Information Management (AIM), Gurugram

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We are seeking a highly experienced and strategic Assistant Vice President for our Data Science Team. The ideal candidate will be responsible for driving the development and implementation of advanced analytical solutions to support key business objectives. This role requires strong leadership skills with a proven track record of collaborating in high-performing teams, delivering impactful insights, and fostering a data-driven culture.

The Specialized Analytics Sr Analyst accomplishes results by contributing significantly to the bank's success by leveraging advanced analytical skills within a specialized domain. Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. 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. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise.

Responsibilities:

• Incumbents would be primarily responsible for supporting model validation process for Model Risk Management, Develop and implement automated solutions to manage the increasing volume of models
• Oversee the development of predictive models, machine learning algorithms, and other advanced analytical techniques. Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization techniques.
• Interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. Offer technical guidance and support in areas such as knowledge graph development, data extraction, and other technical aspects related to model implementation
• Communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in data science and analytics. Ensure compliance with data governance policies and regulatory requirements
• 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 to business outcomes
• Incumbents in this role may often be referred to as Data Scientists. Develop and execute the data science and analytics strategy
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
• Act as a senior data scientist and work with team members to deliver on organizational priorities

Qualifications:

• 8+ years of experience in Data Science roles
• Strong understanding of statistical modeling, machine learning, and data mining techniques
• Proven ability to translate complex data into actionable insights. Ability to leverage data science tools & techniques for analytics problem solving for organizational needs
• Experience in Developing and Deploying AI solutions in partnership with Tech and Business
• Experience with any banking applications (e.g., fraud detection, risk management, expense/operation management, legal/customer analytics). Knowledge of regulatory requirements related to data privacy and security
• Experience in interacting with senior stakeholders across the organization to be able to manage end-to-end conceptualization & implementation of data science solutions
• AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis with ability to impact key business drivers via a disciplined analytic process
• Analytics thought leadership skills & Manage project planning effectively
• In-depth understanding of the various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
• Creative problem-solving skills

Education:

• Bachelors/University degree in STEM, 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.

Time Type :Full time

*Most Relevant Skills*
Please see the requirements listed above.

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

Job Level :C12

Job Family Group:
Decision Management

Job Family:
Specialized Analytics (Data Science/Computational Statistics)

Time Type:
Full time

*Most Relevant Skills*
Please see the requirements listed above.

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

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