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Job 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.

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

LOB Job Description:

As a Client Protection Fraud Strategy Analyst, you will capitalize on your technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. The Digital Fraud team focuses on identifying criminals posing as customers who are intentionally trying to steal from the bank and deceive clients. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers from both fraud, scams and money mule activity. In the role you will spend time analyzing difficult problems to effectively manage an evolving fraud attack environment. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, and is results oriented with a track record of thriving in a fast paced entrepreneurial environment.

Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures. Other responsibilities include:

• Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.

• Support biometrics capability enhancements and strategy design

• Build and develop logic for strategy

• Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.

• Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies

• Excels at risk/reward trade off.

• Participates in the rollout of leading-edge machine learning technology

• 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.

Required Qualifications:

• 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred)

• Proficient in SAS/SQL and Excel

• Strong quantitative, critical thinking, and analytical skills

• Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business

• Ability to work independently as well as part of a virtual team

• Innovative mindset with the ability to challenge the status quo

• Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines

Desired Qualifications:

• Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business

• Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes

• Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)

• Proven strong analytical and communication skills

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

Shift:
1st shift (United States of America)

Hours Per Week:
40

Pay Transparency details

US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)

Pay and benefits information

Pay range

$79,700.00 - $118,900.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.