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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.

Account Takeover (ATO) persists as one of the most prevalent threats within the fraud landscape today. This, coupled with the expansion of our digital capabilities, and the wide array of compromised information available for purchase, has increased the scope and complexity of effectively detecting, mitigating and monitoring ATO risk within the Bank's ecosystem.

The Fraud Prevention and Detection organization relies heavily on our understanding of current fraudster tactics to expand our capabilities, reduce customer impact, and make strategic investment decisions. As such, data related to customer profiles and online banking login events hold an important key to securing best-in-class fraud performance and exceptional customer experiences. The selected candidate will work closely with the Cross-Functional teams and internal stakeholders to minimize process gaps and deliver on organizational loss goals.

This job is responsible for performing more complex analysis and modeling of online logins and device characteristics to minimize fraud 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/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.

The role will be responsible for several key areas:
1. Creation, implementation, and maintenance of rules and capabilities designed to detect account takeover and non-monetary fraud

2. Developing effective monitoring and oversight for cross-functional processes

3. Deriving actionable insights from complex data

4. Working closely with internal and external partners to understand limitations and opportunities for improvement

5. Implementing appropriate controls in partnership with functional stakeholders

6. Investigation and root cause analysis of major fraud losses and emerging trends

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

This position is not eligible for sponsorship

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Required Qualifications:

- 2+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies
- 3+ years of SQL and/or SAS coding ability
- Intermediate Excel and PowerPoint capability
- Ability to identify opportunities for improvement and work autonomously with minimal direction
- Ability to work in a fast-paced, dynamic environment

Desired Qualifications:

- B.A./B.S in Computer Science, Data Science, Statistics or related field
- Advanced degree in Computer Science, Data Science, Statistics, or related field
- Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication
- Understanding of statistical methods for developing performance metrics
- Familiarity with data visualization tools, preferrably Tableau
- Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)
- Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive
- Familiarity with code automation

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.