• Competitive
  • Wilmington, DE, USA
  • Permanent, Full time
  • Citi-US
  • 2019-06-26

Fraud Risk Group Manager (Fraud Advanced Analytics Group Manager - Data Science)

Fraud Risk Group Manager (Fraud Advanced Analytics Group Manager - Data Science)

  • Primary Location: United States,Delaware,Wilmington
  • Education: Bachelor's Degree
  • Job Function: Risk Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 19013309


Description

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.

About Global Consumer Bank

Citi's Global Consumer Bank (GCB), a global leader in credit cards, wealth management and commercial banking, serves as a trusted partner to more than 110 million customers in 19 countries worldwide, providing financial services that enable growth and economic progress. The Global Consumer Bank operates four business lines - Branded Cards, Retail Services, Retail Banking and Commercial Banking - in three priority markets: Asia, Mexico and the U.S. Over the past few years, our business has transformed to become a simpler, leaner, focused franchise.
Citi is on a journey to become a world-class digital bank has tangibly accelerated with a mobile-first strategic focus and deployment of a new, agile operating model fostered massive improvements in the design and delivery of digital features and in the customer experience. As a result the franchise has seen significant growth in the number of digital users, mobile downloads and digital engagement.  

About the GCB Fraud Prevention Organization

The financial crimes environment continues to be challenging, with cybercrime worldwide remaining highly lucrative and criminals becoming more organized and sophisticated, making it harder to distinguish between real and fraudulent customers. To combat the agile threat, the Global Consumer Bank (GCB) Fraud Prevention organization operates leveraging an intelligence-led, threat driven model that targets fraud along the entire fraud lifecycle, enabling the integration of analysis, dissemination of information and coordination of action with speed and agility across businesses and regions.

Fraud Risk Group Manager (Fraud Advanced Analytics Group Manager - Data Science)

Role & Responsibilities:

The Fraud Advanced Analytics - Data Science role resides in GCB Fraud Prevention's Global Fraud Analytics & Model Management team and is responsible for leveraging the latest analytical tools and techniques to enhance fraud detection and mitigation capabilities for consumer businesses, advancing the bank's ability to detect potential fraud by solving challenging analytical problems. Key Responsibilities include:
  • Drive complex data science solutions using multiple data sources, including data acquisition, model development, and production deployment.
  • Model development leveraging supervised and unsupervised methods and diverse and massive data sources.
  • Development of a comprehensive knowledge of Citi data and core fraud systems.
  • Management of analytical initiatives pipeline. Proactively plan and prioritize work according to criticality and shifting priorities/strategies, while balancing need to drive longer-term initiatives.
  • Actively collaborate with cross-functional business partners and analytics teams to design and generate advanced analytics and machine learning solutions.
  • Make recommendations and provide updates to analytical and executive business audiences.
  • Manage a high-performing team of 3 to 5 analysts/data scientists.


Qualifications

Education & Experience
  • Bachelor's degree required (Master's degree preferred) in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline.
  • 10+ years experience, with 8+ in fraud or risk management; experience in analytics and modeling or relevant area preferable. 5+ years people management experience (direct or indirect).
  • Strong understanding of statistical modeling, data mining concepts, machine learning, and experience in solving complex problems with these disciplines.
  • In-depth knowledge of the consumer financial services industry, threat landscape, fraud management concepts and practices, and performance implications of policy or strategy actions a plus.

Skills
  • Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns, trends and insights, and perform risk/reward trade-off.
  • Ability to effectively collaborate with cross-functional partners and management to define strategies that balance risk and return.
  • Excellent communicator, with ability to engage and inspire a high-performing team forward. Ability to deliver compelling presentations and influence executive audiences.
  • Effective coaching, mentoring and talent development skills; ability to identify development areas, provide sound feedback, and guide employees to action.
  • Effective cross-functional project, resource, and stakeholder management while creating/sustaining network of strong client relationships.
  • Proficient in SAS/SQL, MS Office, programming languages (e.g. Python, R), analytical tools (Enterprise Miner, Knowledge Studio, H2O, Tableau) and big data tools (e.g. Hadoop HDFS/YARN, Kafka, Hive, Spark).
  • Solutions-oriented "can do" attitude, with ability to drive innovation via thought leadership while maintaining end-to-end view.
  • Extremely detail-oriented, with strong, intellectual curiosity. Ability to effectively multi-task and work in a fast-paced and evolving environment, while setting meeting high standards.