Fashion Nova - is hiring a

Fraud Analyst eCommerce

Beverly Hills, United States

ABOUT US

Fashion Nova is the world’s leading trend-to-market fashion and lifestyle brand with high-growth categories across its Women, Men, Kids and Beauty divisions. Renowned for delivering the most-wanted styles to millions worldwide, Fashion Nova earned the title of the Top 5 Most-Searched Fashion Brand on Google in 2022, alongside Louis Vuitton and Nike. 

Founder & CEO Richard Saghian launched the brand in 2006, from a retail location in Los Angeles. After multiple store openings, Saghian launched the e-commerce website for Fashion Nova in 2013, pioneering a disruptive social commerce model of affordable, on-trend, size-inclusive clothing online – powered by an innovative, social media-first marketing strategy. 

Today, Fashion Nova has amassed over 40 million social media followers, with annual sales of approximately $2 billion!

The brand’s name has been featured in chart-topping hit songs by Cardi B, Drake, 21 Savage, Saweetie, The Game, Tyga and Offset and its styles have been worn by many celebrities, artists and athletes including Meg The Stallion, Ice Spice, Chris Brown, Floyd Mayweather, Rick Ross, Kourtney Kardashian, and Kylie Jenner.

ROLE OVERVIEW

The Fraud Analyst will be responsible for monitoring and reviewing eCommerce sales orders on a daily basis, identifying any trends and patterns of fraud or credit card misuse.

RESPONSIBILITIES

  • Monitor and review eCommerce transaction data and Fashion Nova member accounts for suspicious activity and potential fraudulent activity
  • Approve or cancel sales orders in accordance with pre-established fraud guidelines
  • Assist customer service representatives with customer inquiries or issues regarding
    customer accounts and order statuses
  • Verify all fraud-related documentation in order to perform due diligence on any fraud-
    related activities
  • Identify new and existing fraud trends by analyzing transaction patterns
  • Monitor real time queues and identify high risk transactions within the business portfolio
  • Must be able to interface with customers and operations team during investigative process
  • Assist Finance teams by providing evidence for the resolution of chargebacks
  • Maintenance of detailed records compliant with PCI|GDPR|CCPA
  • Stay abreast of emerging trends and industry best practices for online fraud detection and prevention

ROLE REQUIREMENTS

  • Two plus years of Fraud Prevention experience
  • Work experience in eCommerce, electronic payment fraud, risk operations, or credit card industry regulations is required
  • Must be able to effectively multi-task in a fast-paced environment with a heavy workload
  • Must be highly attentive to detail
  • Must be available weekends and Holidays
  • Must have excellent written and verbal communication skills
  • BA|BS degree or equivalent work experience
  • English, additional language(s) an advantage
  • Schedule of this position: Monday – Friday | Core business hours | Onsite

BENEFITS 

  • NEW state-of-the-art HQ upcoming in 2024!
  • Formalized career paths for continued professional growth
  • Comprehensive health insurance across Medical, Dental and Vision
  • 401k match, with immediate vesting upon eligibility
  • Weekly catered lunches & fully-stock kitchen pantry!
  • Opportunities to travel for trade shows and vendor meetings
  • Summer Fridays Early Departure
  • Team bonding events and programs
  • Attractive employee discounts!

Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.

 

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