Business Analytics Ld Analyst - C13 - JACKSONVILLE
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+3 more
Job description
This role partners closely with Fraud Policy, Operations and various partners to keep apprised of business and technology direction in order to determine potential and existing fraud impacts., * 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, Risk appetite execution, POS interdiction strategies and defect analysis.
- Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
- Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
- 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.
- Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
- Prioritize and provide a clear line of sight to the most critical work to partners and team members.
- Mentor and coach junior team members.
Requirements
- 5+ years experience in analytics and modeling or relevant area.
- Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
- Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
- Data visualization tools, such as Tableau
- Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
- Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
- Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
- Ability to make decisions independently with minimal guidance from management.
Education:
- Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master’s Degree or PhD preferred.
Benefits & conditions
$113,840.00 - $170,760.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
About the company
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Top Big Data Technologies That You Need to Know
Data Analyst Salary in Switzerland
Making Data Warehouses Fast: A Developer’s Story
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production