Citi Group Vice President -Fraud Analytics 

India, Maharashtra, Pune 

378435202

Job Description Summary:

• Lead a team with primary responsibility of extracting different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance. Ensuring 100% execution accuracy.

• Have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations . Knowledge of fraud decision engine like Actimize EFD, Threat Matrix is preferred.

• Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.

• Experience in stakeholder management across various functions and regions. 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. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
• Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management.

• This role is a people manager role. The role requires to lead 8-10 analysts/senior analysts/AVP’s , manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance.

• Generate new ideas. Delivery & quality management ownership, proactive & efficient stakeholder management, timely escalation management. Leads projects & ensures robustness of proposed solution, with clear roadmap / line of sight towards implementation. Proactive business solutioning with expert consulting mindset

Knowledge and Experience:

• Minimum 11+ years of analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.

• Education : Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA
• Model execution and governance experience in any domain will be preferable.
• Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix.
• At least 3 years of people management experience
• 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.
• Successful candidate will have a demonstrable analytics problem solving and has the ability to deliver projects in a fast-paced environment.
• 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.
• Strong coordination and project management skills; must be able to define business requirements and create robust technical and process documentation to support activities.

Time Type:

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