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Cons Prod Strat Analyst III

Newark, Delaware;

Job Description:

The Fraud Organization is looking for an analyst to join our team in Digital Fraud Strategies. In this role, you will be expected to analyze significant quantities of data for a number of different products to identify and stop fraud.  Products include: Wires, ACHs, Person to Person (P2P), Zelle, Bill Pay, and Mobile Wallet.

• Development of new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats.

• Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology.

• Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies

• Development of both ad-hoc and more other types of reporting

• Development of relationship with business partners, particularly in Operations, Policy, Technology and Project Management and with vendors.

• Loves looking at data and finding patterns in what seems like endless rows of information

Enterprise Role Overview

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.

Required Skills & Experience

• Medium to advanced level in SQL, SAS, R, Hadoop or other database languages

• The candidate must be knowledgeable of data extraction tools such as Hive or Hue, reporting tools such as Tableau, or any other software used in big data analytics.

• Experience working with big data

• Bachelors degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business.  Graduate degree or applicable certificates is a plus.

• Ability to work in a fast-paced, dynamic environment is critical.

• Must have exceptional organizational, project management and communications skills.

• Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results.

• Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds.

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Monday-Friday, 8am-5pm

Referral Bonus Amount:

1000

Job Description:

The Fraud Organization is looking for an analyst to join our team in Digital Fraud Strategies. In this role, you will be expected to analyze significant quantities of data for a number of different products to identify and stop fraud.  Products include: Wires, ACHs, Person to Person (P2P), Zelle, Bill Pay, and Mobile Wallet.

• Development of new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats.

• Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology.

• Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies

• Development of both ad-hoc and more other types of reporting

• Development of relationship with business partners, particularly in Operations, Policy, Technology and Project Management and with vendors.

• Loves looking at data and finding patterns in what seems like endless rows of information

Enterprise Role Overview

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.

Required Skills & Experience

• Medium to advanced level in SQL, SAS, R, Hadoop or other database languages

• The candidate must be knowledgeable of data extraction tools such as Hive or Hue, reporting tools such as Tableau, or any other software used in big data analytics.

• Experience working with big data

• Bachelors degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business.  Graduate degree or applicable certificates is a plus.

• Ability to work in a fast-paced, dynamic environment is critical.

• Must have exceptional organizational, project management and communications skills.

• Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results.

• Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21079341

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Lisa Doggett

Referral Bonus:

1000