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Client Protection Data Analyst- Strategy Analyst III

Newark, Delaware;

Job Description:

The Client Protection data analyst will provide analytical and data support for Consumer fraud and non-fraud products supporting adhoc report and analytical requests to support fraud and claims LOBs. The candidate will coordinate the production of performance reports and updates for key stakeholders in strategy, claims, finance, and product. The candidate will utilize established databases to provide performance insights to key stakeholders. The candidate will be tasked with analyzing and completing adhoc reports that will provide insights into performance, risk, client impacts, recoveries, and potential gaps.  SAS/SQL technical skills required.  Good working experience with Tableau, HIVE SQL, and Python is a plus.

▪ Analyze complex data to provide insights into incoming and loss trends or identify potential problems

 ▪Develop adhoc reporting for Consumer Card Products and Channels

 ▪Identify process improvements and efficiencies via data analysis 

 ▪Deliver accurate metrics related to fraud and claim activity

 ▪Validate the integrity and quality of data required for performing analysis

 ▪Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

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

▪ 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 Skills & Experience

▪ Bachelor’s 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▪ Bachelor’s 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

▪Tableau, Python, Hadoop, R

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Monday - Friday 8am -5pm ET (may need to be flexible based on business need)

Referral Bonus Amount:

1000

Job Description:

The Client Protection data analyst will provide analytical and data support for Consumer fraud and non-fraud products supporting adhoc report and analytical requests to support fraud and claims LOBs. The candidate will coordinate the production of performance reports and updates for key stakeholders in strategy, claims, finance, and product. The candidate will utilize established databases to provide performance insights to key stakeholders. The candidate will be tasked with analyzing and completing adhoc reports that will provide insights into performance, risk, client impacts, recoveries, and potential gaps.  SAS/SQL technical skills required.  Good working experience with Tableau, HIVE SQL, and Python is a plus.

▪ Analyze complex data to provide insights into incoming and loss trends or identify potential problems

 ▪Develop adhoc reporting for Consumer Card Products and Channels

 ▪Identify process improvements and efficiencies via data analysis 

 ▪Deliver accurate metrics related to fraud and claim activity

 ▪Validate the integrity and quality of data required for performing analysis

 ▪Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

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

▪ 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 Skills & Experience

▪ Bachelor’s 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▪ Bachelor’s 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

▪Tableau, Python, Hadoop, R

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22061798

Band: H5

Manages People: No

Travel: Yes, 10% of the time

Manager:

Talent Acquisition Contact:

Lisa Doggett [C]

Referral Bonus:

1000