Senior Solution Consultant - Fraud

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

The Team & Role

This position leads the technical and data analytics process for Fraud tools on the subscription payment platform.  The role entails the comprehensive analysis of extensive datasets to derive actionable intelligence and provide prompt, high-level support to stakeholders. Key responsibilities encompass meticulous data interrogation, detailed reporting, and timely response to internal and client support inquiries. A background in finance or credit cards payment flows, with demonstrable experience in payment fraud, is highly desirable. The successful candidate will possess exceptional attention to detail, robust self-discipline, and the capacity to meet rigorous deadlines within a dynamic environment. Strong client-facing communication skills are imperative, involving direct client engagement to present analytical findings, lead strategic discussions, and ensure comprehensive fulfillment of their needs. This role also requires coordination with internal resources and the strategic guidance of tool capabilities integration into the payment platform.

This is a remote position, so you’ll be working remotely while occasionally getting together with your team for office visits, events, or offsites. Of course, you’re welcome to come into the office more often if you’re nearby.

What you’ll do

• Conduct in-depth analysis of data pertaining to payment systems, credit card transactions, and fraud detection to discern trends, patterns, and actionable insights.
• Develop and optimize Python scripts, SQL queries, and SQL scripts for sophisticated data manipulation, extraction, and analysis.
• Utilize SQL Server Management Studio (or equivalent software) for advanced database management and complex query execution.
• Generate comprehensive data reports and visualizations for internal stakeholders and clients.
• Engage in collaborative efforts with cross-functional teams to facilitate data-driven strategic decision-making.
• Lead formal client meetings and effectively communicate data insights with clarity and precision, ensuring utmost client satisfaction.  Comfortable with various levels of client interactions up to and including C level decision makers.
• Rigorous analysis of data related to payment systems, credit card transactions, and fraud detection.
• Manage and adhere to Service Level Agreements (SLAs) concerning data-related support tickets from clients and internal teams.
• Ensure the integrity and reliability of data models, dashboards, and reports, concurrently maintaining stringent customer data security protocols.
• Lead team of Data analysts as capacity scales
• Implement AI programming techniques to construct predictive models and enhance analytical capabilities.

Your experience

• Bachelor’s degree in Data Sciences, Finance, Computer Science, or a closely related discipline (Master’s degree preferred).
• Seven (7) or more years of professional experience in data analysis, ideally within the finance, credit card, or payment systems sector.
• Extensive familiarity with Rule-Based Risk modeling and Payment Fraud tools.
• Superior time management and self-discipline, with a proven ability to consistently meet demanding deadlines.
• Substantial experience with data analysis tools, including Python, SQL, and SQL Server Management Studio (or similar).
• Familiarity with AI programming and machine learning applications.
• Proficiency in database management systems, such as MySQL, PostgreSQL, JSON,and NoSQL.
• Demonstrated ability to translate intricate data into actionable insights and articulate these findings in a clear, concise, and professional manner.

Nice to haves:

• Experience with machine learning or predictive analytics.
• Proficiency with business intelligence tools like Tableau and Power BI.
• Advanced knowledge of fraud analytics or payment system regulatory compliance.

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs” are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world.

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical, dental and vision insurance
• Generous, flexible time off 
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave 
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing  

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com.