Be responsible for and drive all regional data analytics projects for Fraud, Collections and Credit Initiation processes.
Develop strategic plans during the yearly planning and budgeting exercise. Constantly ensure alignment of analytics initiatives with the strategic priorities of key stakeholders. Own impact assessment, prioritization and delivery of the identified initiatives.
Communicate recommendations and performance trends with key stakeholders, senior management and external regulators and work effectively in a global and regionally matrixed environment
Provide thought leadership to conceptualize and identify new uses of data to drive process efficiencies, improve customer experience and support revenue growth. Use a combination of data insights and sophisticated statistical techniques to drive benefits. Some identified key initiatives are -
Transition advanced and tactical analytics practices from countries to the Fraud Analytics COE. Combine transaction data across multiple countries to create regionally validated rules, given the cross-border nature of fraud
Develop analytical solutions (AI/ML models, Decision Trees etc.) and lead other sophisticated analytical projects (e.g. Proof-of-concept with external vendors.) to manage Fraud risk for credit card consumer loans and other banking products/ services
Liaise with other analytics teams - Cyber security, Internal fraud etc. to identify synergies and best practices
Develop and improve collections segmentation to drive Collections efficiencies. Identify at-risk customers upfront for delayed or accelerated collections actions and offers.
Map channel preferences to devise Omni-channel communication strategies for fraud and collections - pivot from Analog to Digital.
Identify opportunities in credit initiation process to reduce cancellations and drive better turn-around times across all acquisition channels.
Use data insights to drive down acquisition cost - improve throughput coming from digital application channels.
Own projects end-to-end including tech development and implementation
Create a future-ready analytics process by championing the adoption of AI/ML tools like NLP, sentiment analysis, text mining, recommender systems etc. , to drive efficiencies
Identify external partners in the Fintech space and work with internal partners in Operations, Risk, Global teams to execute, projects, and coordinate franchise-wide initiatives
Identify and utilize data from both traditional and unconventional internal sources to enhance solution quality in accordance with model governance policy and legal and regulatory requirements
Ensure high staff morale ; Be responsible for coaching, developing, and empowering staff to achieve superior results all aspects of the job
Ensure adherence to Model Governance standards; comply with all policies, legal/regulatory requirements in the model management processes
Bachelor's degree required in a quantitative discipline such as mathematics, statistics, economics, engineering, or operations research. Post-graduate degree strongly preferred.
10+ years of experience in financial services and experience in leading analytical teams is required
Experience in managing remote teams.
Hands-on experience in end-to-end statistical modeling, using techniques such as linear regression, logistic regression, decision trees and random forests
Experience is designing downstream business strategies using models and analytical insights as inputs
Experienced in either SAS, R or Python
Prior experience in fraud , collections or operations is preferred
Proven track record of success, with particular emphasis on leading change
Knowledge on model lifecycle, governance requirements and model deployment
Ability to create support and buy-in across a wide range of stakeholders; create a strong network of relationships among peers, internal partners, external constituencies and decision makers.
Strong organizational skills, and ability to multitask in a dynamic and ambiguous environment
Strong written/verbal communication and presentation skills and ability to translate analytical insights into business actions
Demonstrated ability to synthesize information, prioritize business goals and drive results with a high sense of urgency
Promote a culture of collaboration and teamwork across organizational boundaries; willing to break down functional silos to optimize business results and to facilitate the overall growth of the franchise.
Demonstrated ability to exercise excellent judgment and maintain confidentiality with highly sensitive information
Experience in managing and building a high performing team and providing them with vision, growth and diverse opportunities
------------------------------------------------- Grade : ------------------------------------------------------ Time Type :Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity. 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 CLICK HERE . To view the "EEO is the Law" poster CLICK HERE . To view the EEO is the Law Supplement CLICK HERE . To view the EEO Policy Statement CLICK HERE . To view the Pay Transparency Posting CLICK HERE .
Internal Number: 7814987
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