This content was reproduced from the employer’s website on December 2, 2022. Please visit their website below for the most up-to-date information about this position.
At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.
***This position is approved for remote work in the following states only: WA, TX, MT, WI, ID, FL, GA***
Who we’re looking for:
An innovative System Analyst to augment our Information Security team. Your primary responsibilities will include partnering with our Fraud & Customer Success (FCS) team to develop and tune rules in proprietary system language to mitigate risk in our fraud tools. The Systems Analyst will also work closely with Data Analysts, Data Scientists, Fraud Agents and our Trust & Safety leadership. You will have a chance to work with quality and dedicated technical and non-technical professionals that make Rover.com the world’s leading platform for pet caring services.
In addition, you will be growth oriented in the cybersecurity domain and make measurable efforts to stay ahead of the curve in terms of emerging security threats, standards, and technologies.
- Ensure we get the most out of the tools and people we have to action new trends in fraud
- Manage short and long-term strategies for combating ever-evolving fraud patterns at Rover
- Optimize fraud system workflow rules and queues so they detect new trends and drive down false-positive rate in fraud management queues
- Escalate new trends to Infosec for awareness and actioning
- Own backlog of opportunities for driving down fraud related to areas such as payment fraud and chargebacks, fraud related to account takeovers, and other marketplace fraud schemes
- Analyze rules performance and make recommendations for promotion or demotion of rules
- Analyze current fraud trends to recommend new rules or update to existing rules
- Define requirements of workflow or policy changes that affect the front-line teams
- Research the latest in fraud management technology trends to keep up to date with the subject and use the latest technology to reduce our fraud risk
- Make recommendations to managers and senior leaders about fraud management advancements
- Mathematics, Statistics, Computer Science, Finance, Economics or other quantitative field or equivalent work experiences
- 2-4 years’ experience in risk, data analytics or fraud investigation
- Solid understanding of relational databases and proficient extracting data from relational database via writing and testing SQL code, functions and procedures
- Detail oriented with excellent research, organizational, and problem-solving skills
- Good communication skills with proven successes in collaboration and teamwork.
- Able to work effectively on cross-functional business team composed of people with diverse backgrounds, some of whom are non-technical
Your Bonus Skills:
- Experience with real time fraud detection and prevention tools preferred
- Demonstrated understanding of and experience with security-related technologies, systems and tools