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Client Quantitative Senior Analyst

Charlotte, North Carolina;

Job Description:

We are looking for a senior level analyst to join the Operational Analytics team to support the fraud and claims organization, which includes operations, fraud prevention and detection, claims and losses across all consumer and small business products and channels.  

This Senior Analyst will provide ad hoc analytics and consulting to the Client Protection team, producing key measurements used to assess trends, regulatory adherence, assessment of claim and detection operations, and the effectiveness of fraud strategies and tactics.   This includes translating business priorities into analytical projects and leveraging data to challenge the status quo and find new approaches to improve efficiencies, champion new ideas, and refine how we do business.  This position will lead the dialogue with the line of business, including senior leaders, providing influence on topics such as effective use of resources, work prioritization, fraud risk vs. client impact, loss and revenue implications, emerging risks, and operating strategies to ensure company goals are met.

The Senior Analyst will navigate the organization to source, link and compile data appropriately, bringing in the applicable experts in order to deliver valuable insight.  They will be required to create presentations that demonstrate conclusions, implications and actionable recommendations to senior stakeholders.

This role includes the support of regulatory related requests, which involves the execution of ongoing meetings, organizing appropriate regulatory responses, and maintaining quality records and documentation throughout the project lifecycle to reduce our risk exposure.

Key success factors include:

  • Strong consultative background to engage and influence business partners 
  • Expert level coding skills to navigate complex data environment and insure consistency of output cross product 
  • Ability to anticipate trends and suggest analysis that will enhance business results 
  • Operate with a high degree of autonomy with ability to manage multiple projects simultaneously   
  • Comfortable and effective in tackling unstructured analytical challenges 
  • Excellent relationship management with the ability to navigate the organization and bring multiple stakeholders together to achieve strategic business goals. 
  • Highly motivated, versatile, and passionate about learning 
  • Willingness to provide coaching, mentoring, guidance to less seasoned analysts

Details:

  • Utilize data from heterogeneous sources (structured and unstructured) with various levels of data quality to construct meaningful analysis and insights to business questions.  Common data platforms include Hadoop, Teradata, and SQL Server. 
  • Provide fraud and claims partners with actionable insights to track and analyze losses, improve prevention and detection, manage workflow, insure adherence to control standards.   
  • Provide subject matter expertise on the 100+ upstream systems of record that are utilized in fraud and claims reporting and analysis; inform partners on available data, capabilities and limitations. 
  • Build a network outside immediate team, across organizational boundaries, to identify synergies across groups, drive partnership and collaboration, reduce redundancy of work, and have a cross functional impact.   
  • Partner with technology and Reporting COE teams to develop repeatable solutions to support most commonly requested metrics 
  • Translate business questions into analytics projects with clear objectives, create and maintain work tracking documentation 
  • Present insights, implications and actionable recommendations to stakeholders and analytics leaders
     

Required Skills:

  • Minimum of Bachelor's degree, or relevant experience with strong quantitative background in Data Analytics, Statistics, Mathematics, or Economics 
  • 8+ years of analytics experience in support of reporting and/or analysis for operational processes 
  • 8+ years of hands-on analytics experience with ability to use SAS, SQL, R and/or PYTHON to find and deliver data from various databases and platforms 
  • Knowledge of fraud and claims 
  • Comfortable and effective in tackling unstructured analytical challenges 
  • Excellent analytical, problem-solving, and communication skills with the ability to summarize and interpret large amounts of data and translate into meaningful insight 
  • Project management experience with ability to adapt to changing priorities 
  • Strong networking and influencing skills, able to work collaboratively across teams without formal management responsibility 
  • Ability to communicate insights, implications and actionable recommendations effectively to senior stakeholders across multiple lines of business 
  • Strong written and verbal communication skills with technical, non-technical and executive roles     
  • Experience working with Hadoop, Teradata, and SQL Server. 
  • Proficiency in MS Excel and Power Point

Desired Skills:

  • Financial services experience, specific experience with fraud and claims 
  • Working knowledge of advanced analytic techniques including propensity models, segmentation, and decision trees 
  • Advanced degree in business or statistics

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Monday - Friday 8 am - 5 pm

Referral Bonus Amount:

0

Job Description:

We are looking for a senior level analyst to join the Operational Analytics team to support the fraud and claims organization, which includes operations, fraud prevention and detection, claims and losses across all consumer and small business products and channels.  

This Senior Analyst will provide ad hoc analytics and consulting to the Client Protection team, producing key measurements used to assess trends, regulatory adherence, assessment of claim and detection operations, and the effectiveness of fraud strategies and tactics.   This includes translating business priorities into analytical projects and leveraging data to challenge the status quo and find new approaches to improve efficiencies, champion new ideas, and refine how we do business.  This position will lead the dialogue with the line of business, including senior leaders, providing influence on topics such as effective use of resources, work prioritization, fraud risk vs. client impact, loss and revenue implications, emerging risks, and operating strategies to ensure company goals are met.

The Senior Analyst will navigate the organization to source, link and compile data appropriately, bringing in the applicable experts in order to deliver valuable insight.  They will be required to create presentations that demonstrate conclusions, implications and actionable recommendations to senior stakeholders.

This role includes the support of regulatory related requests, which involves the execution of ongoing meetings, organizing appropriate regulatory responses, and maintaining quality records and documentation throughout the project lifecycle to reduce our risk exposure.

Key success factors include:

  • Strong consultative background to engage and influence business partners 
  • Expert level coding skills to navigate complex data environment and insure consistency of output cross product 
  • Ability to anticipate trends and suggest analysis that will enhance business results 
  • Operate with a high degree of autonomy with ability to manage multiple projects simultaneously   
  • Comfortable and effective in tackling unstructured analytical challenges 
  • Excellent relationship management with the ability to navigate the organization and bring multiple stakeholders together to achieve strategic business goals. 
  • Highly motivated, versatile, and passionate about learning 
  • Willingness to provide coaching, mentoring, guidance to less seasoned analysts

Details:

  • Utilize data from heterogeneous sources (structured and unstructured) with various levels of data quality to construct meaningful analysis and insights to business questions.  Common data platforms include Hadoop, Teradata, and SQL Server. 
  • Provide fraud and claims partners with actionable insights to track and analyze losses, improve prevention and detection, manage workflow, insure adherence to control standards.   
  • Provide subject matter expertise on the 100+ upstream systems of record that are utilized in fraud and claims reporting and analysis; inform partners on available data, capabilities and limitations. 
  • Build a network outside immediate team, across organizational boundaries, to identify synergies across groups, drive partnership and collaboration, reduce redundancy of work, and have a cross functional impact.   
  • Partner with technology and Reporting COE teams to develop repeatable solutions to support most commonly requested metrics 
  • Translate business questions into analytics projects with clear objectives, create and maintain work tracking documentation 
  • Present insights, implications and actionable recommendations to stakeholders and analytics leaders
     

Required Skills:

  • Minimum of Bachelor's degree, or relevant experience with strong quantitative background in Data Analytics, Statistics, Mathematics, or Economics 
  • 8+ years of analytics experience in support of reporting and/or analysis for operational processes 
  • 8+ years of hands-on analytics experience with ability to use SAS, SQL, R and/or PYTHON to find and deliver data from various databases and platforms 
  • Knowledge of fraud and claims 
  • Comfortable and effective in tackling unstructured analytical challenges 
  • Excellent analytical, problem-solving, and communication skills with the ability to summarize and interpret large amounts of data and translate into meaningful insight 
  • Project management experience with ability to adapt to changing priorities 
  • Strong networking and influencing skills, able to work collaboratively across teams without formal management responsibility 
  • Ability to communicate insights, implications and actionable recommendations effectively to senior stakeholders across multiple lines of business 
  • Strong written and verbal communication skills with technical, non-technical and executive roles     
  • Experience working with Hadoop, Teradata, and SQL Server. 
  • Proficiency in MS Excel and Power Point

Desired Skills:

  • Financial services experience, specific experience with fraud and claims 
  • Working knowledge of advanced analytic techniques including propensity models, segmentation, and decision trees 
  • Advanced degree in business or statistics

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22053768

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Kevin Ruskin

Referral Bonus:

0