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Cons Prod Strat Analyst III
4 months ago
Description
:This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. SAS and/or MicroStrategy experience preferred; 2-5 years’ experience preferred.
The Client Protection organization is hiring an analyst for our Fraud Prevention team. This analyst will be responsible for the following:
• Drive analytics to develop fraud mitigation rules, carefully striking the balance across fraud risk, client impact, operational costs and revenue implications
• Proactively managing fraud risk by urgently responding to immediate threats while keeping an eye toward future risks, vulnerabilities, and changes to the fraud landscape
• Consistently challenge the status quo to find opportunities to develop and refine our fraud policies and procedures, working closely with the business, operations, and policy partners
Responsibilities:
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads coordination of the production of product performance reports and updates for senior management
Skills:
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
Research
Required Qualifications:
• Previous risk analysis, strategy development, or related experience.
• Basic understanding of 1st and 3rd party fraud, scams and/or mules
• SQL/SAS Coding knowledge and/or experience.
• Ability to build and maintain relationships with line of business leaders and multiple stakeholders throughout the organization.
• Strong written and oral communication skills.
• Ability to manage multiple projects in a complex and rapidly-changing environment.
• Ability to work independently as well as part of a team.
• Excellent time management skills.
• Intellectually curious and willing to dive into complete issues\problems and solve.
Desired Qualifications:
• Experience with Python and usage of more advanced analytical, visualization and data extraction tools (H2O, HUE, Pig, Spark, Hive, Tableau) is strongly preferred.
• 3+ years of risk analysis, strategy development, or related experience.
• 3+ years of SQL/SAS Coding experience.
• 2+ years of fraud/fraud detection experience and/or 2+ years of analytical /financial experience (Payment card /Retail Bank Finance background preferred)
• Proven track record of building and deploying Fraud process and control changes
• Advanced Excel capability
• Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance or operations research
Shift:
1st shift (United States of America)Hours Per Week:
40