Senior Data Analyst - Fraud

India - Remote

Applications have closed

Course Hero is hiring! The new Senior Data Analyst, Fraud will be one the first and key members of the newly formed Trust and Safety team in India, owning and driving fraud investigations, modeling, detection, and prevention rules. You will be working cross-functionally between Product, Analytics, TechOps, Engineering and Operations to gather information, share learnings, and implement prevention initiatives. You will be telling the story behind your insights -- painting a picture to our functional partners, explaining what the numbers are telling us, and recommending new fraud detection patterns, product changes, and A/B tests for implementation. 

The Data Science & Analytics team at Course Hero is central to our functional organization, and heavily influences the strategy and tactics of our company’s roadmap. The Data Science & Analytics team is rapidly growing in order to generate more and more analytical insights to fuel Course Hero’s growth while giving directions to our product strategy. We are also constantly improving and innovating ways that Course Hero can use data to drive growth while preventing bad actors from abusing our site. This is a technically-engaged, high-visibility position leading analytics for varied stakeholders across business, operations, products, techops and engineering.

 

Here are some ways you will make an impact:

  • Uncover how fraud works on Course Hero, identify patterns, trends, and connections
  • Build models, rule-sets, reports, and other forms of capabilities to proactively detect and mitigate fraud
  • Aggregate and synthesize fraud-specific data sources and reports
  • Be a key cross-functional contributor to fraud detection, mitigation, and prevention across Product, Ops, Engineering, TechOps, and Marketing
  • Investigate all forms of malicious abuse of the platform to better understand 
  • Utilize third-party vendors to help with fraud detection and mitigation

 

Are you our Next Senior Data Analyst?

  • 5+ years of work experience in business analytics, product analytics, or risk analytics in B2C companies; across payment, e-commerce, retail, or digital media industries
  • A deep understanding of the fraud space with 2+ years of work experience in investigation and exploration of fraud MOs, identifying malicious intent usage, fake accounts, and linked users, utilizing internal and external data sources to identify, investigate, and pinpoint fraud users
  • Deep experience in analyzing large datasets using SQL/Python/R or other statistical analysis packages, with focus on identifying outliers and abnormalities in user behavior
  • Understanding of and experience in using online fingerprinting data to identify anonymizing and obfuscation mechanisms and fraud scaling methodologies
  • Bias towards taking action quickly, making things happen, learning and correcting course as you receive feedback
  • Detail-oriented, data-driven problem-solving skills with investigation instincts, uncovering root causes and hidden links from seemingly unrelated signals
  • Ability to communicate with a broad set of stakeholders including executives, product leaders, engineering, analytics, and ML experts

 

Bonus Points:

  • Strong business acumen and business model analysis
  • Experience with user generated content (social media posts, user profiles, user comments, user posts on professional job boards, listing boards, etc.)
  • Experience using third-party tools for fraud detection, investigation, and monitoring
  • Strong technical understanding of network and TechOps
  • Experience working with Tableau or other dashboarding tools
  • Passion for evolving education to help students graduate
  • Quantitative degree or an MBA with quantitative focus
  Benefits & Perks!
  • Competitive salary & annual bonus
  • Health insurance
  • Life & accidental insurance
  • Tax saving benefits (Sodexo or Paytm Meal Passes, National Pension Scheme, etc)
  • Learning & development reimbursement
  • Privilege leaves, casual leaves, menstrual leave (for women), & compassionate leaves, Covid leaves, & marriage leaves
  • Parental leave
  • Company holidays
  • Flexible remote work or in-office work (up to you!)
  • Workstation & IT asset stipend
  • Internet bill reimbursement
  • Team outings

#LI-Remote

Equal ​Employment Opportunity Statement ​(EEO)

We are an equal opportunity employer and value diversity and ​inclusion within our company.  ​We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender ​identity, gender expression, sexual orientation, age, marital status, ​veteran status, or ​ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

 

About Course Hero:

Course Hero is on a mission to help students graduate, confident and prepared. The online learning platform offers over 60 million course-specific study resources created by and for students and educators, as well as 24/7 tutor help. More than 65,000 verified college educators use Course Hero to collaborate with other faculty and share resources to hone new strategies for instruction. Everyday, students, educators and tutors help more than 20 million students make every study hour count.  

We have an awesome team and a truly engaging culture. We are customer-focused, collaborative, responsible, gritty, and we love to learn. Our bold mission is to help students graduate confident and prepared!

 

We are not the only ones that think we’re onto something big. Course Hero has been recognized as one of the 2021 Top 100 Best Places to Work in the Bay AreaTop 50 Best Paying Companies in the Bay AreaTop 100 Most Transparent Companies, and in the Top 50 Most Transformational Companies in Education Technology. Read up on some of our recent news coverage, blog, and learn more about us to see what it is like to work with our team. 

 

Join us on our mission!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Business Analytics E-commerce Engineering Machine Learning Python R SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Flex hours Health care Home office stipend Parental leave Salary bonus Startup environment Team events

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  20  6  0
Category: Analyst Jobs

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