Avp - Fraud Analytics

3 weeks ago

Bengaluru, India Citi Full time

**Business Analytics Manager (C12)**

**About Citi**:

- Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
- Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
- Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.

Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as a Business Analytics Manager. The Business Analytics Manager provides full leadership and supervisory responsibility while providing thought leadership and direction to team.

This role partners closely with Senior stakeholders, Fraud Policy, Fraud Operations and technology teams as a leader of the team in order to determine potential and existing fraud impacts and implement the strategic interventions.

**Primary responsibilities include**:

- Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
- Ownership and management of fraud rules, scores, and detection strategies
- Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
- Leverage the non-financial data sources like digital footprint and biometrics data to identify customer patterns and device authentication strategies
- Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies
- Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
- Continually assess manual and automated processes to identify potential process gaps and opportunities.
- Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
- Periodic review and development of MIS reports, dashboards and communication of fraud results internally and to the business using advanced visualization techniques.
- Work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs; develop comprehensive transition plan
- Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
- Prioritize and provide a clear line of sight to the most critical work to partners and team members.
- Mentor and coach junior team members.

**Required Qualifications / Skills**:

- Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
- Engineering / MBA background from a premier institute
- Minimum 9+ years of hands-on analytical experience
- Minimum 4+ years’ experience in statistical analysis with working knowledge of: SAS / SQL (mandatory), R / Python (desired)
- Advanced analytical and business strategy skills
- Project and process management skills
- Experience with a prior focus in financial services analytics
- Solid organizational skills and ability to manage multiple projects at one time
- Self-starter who also has a demonstrated ability to work successfully in team environment
- Experience on handling digital footprint and biometrics data captured with various third-party tools is desired
- Ability to work in a fast paced, dynamic, environment
- Hands on experience in data visualization tools, such as Tableau
- Analytical and problem-solving ability to deliver projects in a fast-paced environment
- Strong verbal and written communication skills; exper

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