Jobs in Hermosillo, Mexiko

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!

The Risk Intelligence organization at Signifyd is responsible for proactively detecting and continuously monitoring fraud activities to mitigate immediate financial losses and protect portfolio health. This team partners closely with Data Science to improve machine learning (ML) model performance by providing continuous feedback on model outputs and identify areas for enhancement using real-world fraud patterns and merchant feedback. We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue. We build trust through responsiveness and expertise, fostering stronger merchant relationships. We demonstrate the value of fraud prevention solutions in driving revenue growth and reducing losses.

As Risk Analyst, you will have an opportunity to join a group of seasoned fraud experts and expand your knowledge of Fraud Fighting within the e-commerce space. Your curiosity, analytical mind, technical skills, and tenacious spirit will have a significant impact in our team's ability to quickly respond to threats, outwit fraudsters, and help us advance payment risk decisioning to the next level.

• Analyzing large data sets to identify and extrapolate fraud trends & propose effective and refined solutions.
• Monitoring performance dashboards to look for anomalies.
• Investigating high risk alerts.
• Producing analytical reports that provide actionable insights on fraud patterns.
• Identifying ideas for new Machine Learning features or rules, working closely with Data Science teams to improve model performance.
• Keeping up to date on the latest fraud trends.

• Identifying fraud patterns, trends and emerging threats.
• Fraud attributes for a variety of verticals within the e-commerce industry.
• Fighting fraud in North America, Latam, EMEA, and APAC.
• Using sophisticated fraud prevention tools.

• Have proven ability to make decisions with limited and conflicting information.
• Have strong data analysis and interpretation skills.
• Have strong critical thinking skills with advanced judgment capability.
• Have an ability to manage multiple assignments while working independently.
• Have strong communication & presentation skills.
• Have flexibility to work weekends and holidays
• Be familiar with data analytics & end user software such as Looker or SQL.
• Be highly proficient in G-suite (Doc, Sheets, Slides) /Microsoft Office (Excel).
• Be fluent in English.

• Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Data Science / or have equivalent working experience within the risk/fraud space.
• Some fraud prevention or payments space experience.

#LI-Remote

• Health, Dental & Vision Insurance
• Life Insurance of 24 months salary
• Annual Performance Bonus
• Christmas Bonus of 1 Month’s Salary
• Food Vouchers
• Stock Options
• Paid Parental Leave
• Flexible Work Arrangements
• Telework Stipend for Home Internet
• 12 Paid Vacation Days with 85% Vacation Premiums
• Paid Holidays
• Company Social Events
• Signifyd Swag
• Dedicated learning budget through Learnerbly
• On-Demand Therapy for all employees & their dependents

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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