The Legal Analytics lead (Vice President) will be a part of AIM, based out of Gurugram and reporting into the Legal Analytics head (Senior Vice President) leading the team. He / She will lead a team of statisticians and Data Science experts that are responsible for Model Development, Validation, Governance and Documentation. Must drive quality, reliability, and usability of all work products. Evaluate and refine the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. Ensure proper documentation of all project work and respond to Internal Audit, Compliance Testing and Regulator’s questions.

The Specialized Analytics Sr. Mgr accomplishes results through the management of professional team(s) and department(s). 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. Involved in short-term planning resource planning. Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

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.
• Lead a team of data scientists and work with them to deliver on organizational priorities

Qualifications:

• 10-15 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 interacting with senior stakeholders across the organization to be able to manage end-to-end conceptualization & implementation of data science solutions
• Analytics thought leadership skills & Manage project planning effectively
• People management experience
• 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
• Consistently sets high performance standards with right mentorship & coaching interventions for team. Ownership & accountability of career progression, performance management, IDP and conflict management. Retain talent, manage attrition, and career mobility
• Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams.
• Strong capability to influence business outcomes / decisions in collaboration with AIM leadership & business stakeholders. Demonstrate thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management.

Education:

• Bachelor’s / Master’s degree in STEM, Master’s degree preferred

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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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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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