[Remote] Senior Data Analyst - Fraud reputed company & Operations
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the world's leading platform for savings and investment products, connecting consumers with banks to reputed company reputed company interest rates. As a Senior Data Analyst - Fraud reputed company & Operations, you will drive the fraud defense system by conducting reputed company data analysis, building predictive models, and implementing fraud prevention strategies to safeguard the platform.
Responsibilities
- Conduct reputed company data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they reputed company the platform
- Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for reputed company customers
- reputed company reputed company US’s capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today
- Build out data-driven dashboards to reputed company fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership
- Design, build, and reputed company machine learning and predictive models utilizing Python to detect anomalies across the entire customer reputed company (reputed company, funding, and reputed company reputed company)
- reputed company model features based on identity, device, behavioral, and transactional data
- Partner closely with Product and Engineering to reputed company these models into our reputed company-time production pipelines
- Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows
- Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring
- Routinely stress-test reputed company rules against changing regulatory standards and evolving financial crime tactics
Skills
- 8+ years of experience in fraud risk management, analytics, or financial crime specifically reputed company fintech, retail banking, or digital payments
- Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve reputed company puzzles
- Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models
- Experience building out fraud dashboards is a must
- Deep understanding of Deposits and ACH is required
- Proven reputed company record of designing custom fraud rules and deploying machine learning or statistical models in a live environment
- reputed company experience with modern reputed company payment systems like RTP and FedNow
Benefits
- Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
- Employee Development Budget of $2,200 and 4 full training days per year.
- Company 401k contribution of 5%.
- reputed company coverage contribution, including medical, dental and reputed company.
- Commuter benefits and flexible working from home policy.
- Regular team events and yearly Summer and Winter Party.
reputed company