Identity Theft Specialist

Posted:
12/2/2024, 9:26:27 AM

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
IT & Security

Workplace Type:
Hybrid

About Upstart

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Team

Upstart’s Identity theft  team is a sensitive and complex area that requires additional focus and specialization. We are looking to grow the team to help handle the increased volume and build out the program as Upstart continues to grow.

As the Identity Theft Specialist at Upstart, you will communicate directly with claimants, gather and review claim documents and loan application information, and work cross functionally with servicing and legal/compliance to investigate and process identity theft claims.

 

Position Location - This role is available in the following locations: Remote

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

 

How you’ll make an impact:

  • Communicate with claimants via phone, email, and mail regarding new and ongoing identity theft claims
  • Compile and process documents and review loan application details to support claim investigations 
  • Complete thorough investigation of identity theft claims and document findings and conclusions 
  • Work cross functionally with servicing and legal/compliance to process identity theft claims and work to improve and scale the program

What we’re looking for: 

  • Minimum qualifications:
    • 1 - 3 years of experience in fraud detection, cyber security, risk management, or a related area
    • Data analysis skills to review large datasets, spot patterns, and identify potential fraud
    • Familiarity with legal aspects of identity theft, including reporting, restitution, and consumer protection laws (e.g., the Fair Credit Reporting Act, Identity Theft and Assumption deterrence act)
  • Preferred qualifications:
    • Certified Identity Theft Risk Management Specialist
    • Certified Fraud Examiner (CFE)
    • Knowledge of Fraud prevention software
    • Data analysis skills to review large datasets, spot patterns, and identify potential fraud

 

What you'll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave  
  • Supportive parental, family care, and military leave programs
  • Annual wellness, technology & ergonomic reimbursement programs
  • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
  • Catered lunches + snacks & drinks when working in offices

 

#LI-REMOTE

#LI-Entry 

This is a Non-Exempt position. Employees in this position are paid an hourly pay rate, on a bi-weekly basis, and are eligible to receive overtime pay for any hours worked over 40 in a work week, or over 8 in a work day if required by state law. 

At Upstart, your base pay is one part of your total compensation package. The anticipated annualized base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). 

United States | Remote - Anticipated Annualized Base Salary Range
$45,400$60,500 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]

https://www.upstart.com/candidate_privacy_policy

Upstart

Website: https://www.upstart.com/

Headquarter Location: San Mateo, California, United States

Employee Count: 1001-5000

Year Founded: 2012

IPO Status: Public

Last Funding Type: Series D

Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Consumer Lending ⋅ Credit ⋅ Financial Services ⋅ FinTech ⋅ Lending ⋅ Machine Learning ⋅ Personal Finance