Overview
On Site
0/hr - 69.16/hr
Full Time
Skills
Financial Software
Recruiting
Business Acumen
Forecasting
Collections
Statistics
Python
SQL
Data Visualization
Big Data
Apache Hive
Apache Hadoop
Analytical Skill
Fraud
Regulatory Compliance
Business Plans
Risk Management
Data Engineering
Analytics
Job Details
Our client, a leader in financial software is hiring a Fraud & Risk Analyst to join their team in Mountain View, CA! You will have the opportunity to work a hybrid schedule (3 days onsite / 2 days remote).
Contract Duration: 6 months to start (possibility to extend)
Required Skills and Experience:
Preferred Skills:
What You Will Be Doing
Contract Duration: 6 months to start (possibility to extend)
Required Skills and Experience:
- Strong business acumen and exceptional analytical ability, with at least 5-7 years of relevant experience in fraud analysis, prevention, and detection. Preferred experience with the Fintech
- Working knowledge of the fundamentals of risk controls, including fraud detection, loss forecasting, and disputes/collections Demonstrated experience in using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like Python, SQL and data visualization tools.
Preferred Skills:
- Preferred experience with the Fintech
- Familiarity with big data technologies such as Hive, Hadoop, and related concepts
What You Will Be Doing
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud and compliance risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.