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Senior Football Data Analytics Jobs in Delaware (NOW HIRING)

JPMorgan Chase & Co.

$180 - $240/hr

The Infrastructure Analytics team enables technology and operations leaders to make faster, better ... data model requirements to support senior-level reviews and approvals * Develop forecasting and ...

Citigroup, Inc.

Data Quality Lead Analyst

Wilmington, DE · On-site

$140K - $145K/yr

Support senior management strategic vision. Appropriately assess risk when business decisions are ... Data Quality & Data Analytics and Reporting Job Family Group: Job Family: Time Type: Full time ...

Barclays

VP - Credit and Data Analytics

Wilmington, DE · On-site

$134K - $172K/yr

Advise key stakeholders, including functional leadership teams and senior management on functional ... Barclays Services LLC seeks VP - Credit and Data Analytics in Wilmington, DE (multiple positions ...

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Senior Football Data Analytics information

What is the difference between Senior Football Data Analytics vs Football Data Analyst?

AspectSenior Football Data AnalyticsFootball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Analytics, or related fields; experience preferredBachelor's degree in Data Science, Sports Management, or related fields; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within sports organizations or analytics firmsTypically focused on data collection, analysis, and reporting under supervision, often within sports teams or analytics companies
Employer & Industry UsageUsed by professional sports teams, analytics firms, and sports media companies for strategic decision-makingCommonly employed by sports teams, media outlets, and analytics agencies for performance analysis

In summary, Senior Football Data Analytics involves higher-level responsibilities, leadership, and strategic planning, requiring more experience and advanced skills compared to Football Data Analyst, which focuses on data processing and reporting at an entry or mid-level.

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For Senior Football Data Analytics jobs in Delaware, the most frequently searched job titles are:

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The top searched job categories for Senior Football Data Analytics jobs in Delaware are:

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Cities in Delaware with the most Senior Football Data Analytics job openings:

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Infographic showing various Senior Football Data Analytics job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Loans Fraud Data Analyst

OneMain Financial

Wilmington, DE • On-site

$83K - $105K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

OneMain Financial rating

7.4

Company rating: 7.4 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

118th of 151 rated financial services

Job description

The Senior Loans Fraud Data Analyst will be accountable for fraud strategy analytics for branch/digital loan acquisitions and transactions spanning OneMain's Personal Loans and Auto businesses. It is an exciting opportunity for someone looking to build and truly influence fraud defenses across a variety of originations channels and methods in a growing and evolving organization. The candidate will be responsible for supporting analytics that drive fraud strategy performance and execution, ensuring we are balancing between reducing fraud and maintaining minimum user friction. Working with various partners, the role will also have responsibilities for fraud reporting to senior leadership, strategy implementation, testing and validation, and, as need arises, ad-hoc analyses.
A successful candidate must love digging into the details and have a passion for deriving data-driven insights. This role requires being both proactive and reactive - understanding what the next question may be, while adapting to real-time issues and needs. Though most time will be spent in data and strategy development, there will be opportunities to interface with other teams (Operations, Technology, Compliance) to align with broader organizational initiatives.
In the Role
  • Prepare and present regular fraud performance reporting and analytics results to management and business partners.
  • Support development and execution of fraud acquisition strategies that balance loss prevention, sales growth, and customer experience.
  • Optimize operational efficiency of manual reviews.
  • Collaborate with business partners to ensure fraud strategies are implemented accurately and on-time.
  • Optimize existing verification and fraud processes to improve customer experience and decrease losses.
  • Identify, verify and analyze data defects/issues and communicate with the appropriate team to determine the root cause for issue resolution.
  • Execute ad-hoc data process jobs to enhance fraud prevention efforts.
  • Responsible for develop/updating routine reporting such as Monthly Fraud KPI reporting, vendor performance reporting...etc.
  • Leverage MS Power BI along with advanced data mining techniques to develop and maintain operational performance dashboards for Enterprise Fraud Group
  • Responsible for linking analysis of incoming apps based on customer's matching data and produce reports highlighting suspected applications to support Enterprise Fraud Group in investigating fraud on daily basis (15%).
  • Responsible for managing and monitoring Fraud Schema database

Requirements
  • Bachelor's degree in a quantitative discipline such as Statistics, Economics, Business Management or Computer Science; Master's Degree preferred.
  • Minimum 3+ years' experience in quantitative risk analytics (credit card or personal loans); preferably at a financial institution, auto/fraud experience a plus.
  • Advanced programming skills and knowledge in analytics and statistic tools (e.g. SAS, SQL, Python).
  • Experience utilizing data visualization tools (Tableau, Power BI, or equivalent).
  • Proficient knowledge of Microsoft Excel/PowerPoint.
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • Ability to work independently and within a team setting with minimal direction/supervision.
  • Extremely detail-oriented; intellectual curiosity.
  • Ability to multi-task and work against tight deadlines.
  • Experience with writing originations strategies and leveraging third party decision platforms.

Location: Wilmington, DE;
Who we Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options for team members and their dependents
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Continuing education
  • Bonus eligible
  • Paid time off
  • Paid volunteer time
  • And more

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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