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Senior Risk Analyst

Join a talented team of fraud experts as a Senior Risk Analyst, making impactful contributions to fraud prevention strategies and payment risk decisioning.

Skills

  • Experience in e-commerce and payments
  • Strong analytical skills
  • Proficient in SQL and BI tools
  • Critical thinking and communication skills
  • Fluency in English

Responsibilities

  • Perform proactive risk analysis and propose effective solutions
  • Lead in the development and implementation of fraud prevention strategies
  • Support process and tool improvements in Risk Operations
  • Communicate insights to internal teams and partners
  • Identify ideas for new Machine Learning features

Benefits

  • 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
  • Paid Holidays
  • Company Social Events
  • Learning budget through Learnerbly
  • On-Demand Therapy
To read the complete job description, please click on the ‘Apply’ button
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What You Should Know About Senior Risk Analyst , Signifyd

Join Signifyd as a Senior Risk Analyst in vibrant Mexico City, where you’ll become a key player in our dynamic team of fraud experts passionate about combating fraud and empowering our customers. In this exciting role, you will employ your analytical prowess to perform proactive risk analyses while identifying and extrapolating fraud trends. Your expertise will drive the development and implementation of innovative fraud prevention strategies, enabling us to stay ahead in the e-commerce payments landscape. If you thrive on learning, problem-solving, and embracing challenges, this is the perfect opportunity for you! You will take charge of leading insightful conversations with both new and existing merchants, all while closely collaborating with our internal teams and the Decision Science crew to enhance model performance. Additionally, your knack for turning complex data into actionable insights will play a crucial role in our fraud mitigation initiatives. Your efforts will genuinely shape how we approach risk, making a significant impact on our organization and beyond. If you possess over 5 years of experience in e-commerce or the risk-related industry and have a strong understanding of payment methods, we want to hear from you! With great benefits including health insurance, performance bonuses, and a dedicated learning budget, Signifyd is committed to supporting your professional growth in an inclusive and flexible environment. Let's tackle fraud together!

Frequently Asked Questions (FAQs) for Senior Risk Analyst Role at Signifyd
What does a Senior Risk Analyst do at Signifyd?

As a Senior Risk Analyst at Signifyd, you will engage in proactive risk analysis to identify fraud trends and develop effective prevention strategies. Your role involves documenting findings, collaborating with internal teams, and leading insightful conversations with merchants, ultimately driving risk decisioning processes forward in the e-commerce payments landscape.

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What qualifications are necessary for the Senior Risk Analyst position at Signifyd?

To qualify for the Senior Risk Analyst position at Signifyd, candidates should have at least 5 years of experience in the e-commerce or payments industry, strong analytical skills, and a proficiency in data utilization using tools such as SQL, Looker, or Tableau. A strong understanding of the e-commerce payments landscape and effective communication skills are also essential.

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What benefits does Signifyd offer to Senior Risk Analysts?

Signifyd provides a comprehensive benefits package for Senior Risk Analysts, including health, dental, and vision insurance, life insurance equal to 24 months of salary, an annual performance bonus, flexible work arrangements, and paid parental leave. Additional perks include a dedicated learning budget and opportunities for professional development.

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How important is data analysis for the Senior Risk Analyst role at Signifyd?

Data analysis is crucial for the Senior Risk Analyst role at Signifyd. You will rely heavily on data to identify fraud trends, propose solutions, and drive improvements in fraud mitigation initiatives. Your ability to utilize analytical tools and processes will significantly impact your success in this position.

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What skills make a successful Senior Risk Analyst at Signifyd?

A successful Senior Risk Analyst at Signifyd possesses strong analytical and critical thinking skills, the ability to manage multiple projects simultaneously, and effective communication and collaboration capabilities. Experience in large-scale data analysis and familiarity with tools such as Python or R can also enhance your effectiveness in this role.

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Common Interview Questions for Senior Risk Analyst
Can you describe your experience in analyzing fraud trends?

When answering this question, showcase specific instances where you identified or analyzed fraud trends. Emphasize your analytical methods, the tools you utilized, and how your findings led to actionable outcomes or improvements in fraud prevention strategies.

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How do you prioritize tasks when managing multiple assignments?

Illustrate your approach to prioritization by discussing techniques you use, such as creating to-do lists or employing project management tools. Highlight your ability to assess deadlines, importance, and urgency to ensure quality is not compromised.

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What tools and technologies are you proficient in that support your role as a risk analyst?

Discuss your experience with tools like SQL for database management and BI tools such as Tableau or Looker for data visualization. Provide examples of how you have applied these tools in your previous roles to enhance fraud analysis and reporting.

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How do you communicate complex analysis to non-technical stakeholders?

Share your strategies for simplifying complex information, such as using clear visuals or analogies. Focus on how you ensure that stakeholders understand your findings and can make informed decisions based on your analysis.

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What approach do you take to continuous learning and staying updated on fraud trends?

Talk about your commitment to professional development through continuous learning, like attending workshops, taking online courses, or participating in industry conferences. Mention specific resources or networks you leverage to stay informed about the latest fraud trends.

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Can you give an example of a successful fraud prevention strategy you developed?

Provide a detailed example that outlines the context, your role in developing the strategy, and the results achieved. Discuss the analytical process you followed, the strategies implemented, and how you measured success.

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How do you handle resistance to new fraud prevention measures among team members or stakeholders?

Emphasize your collaborative approach by explaining how you facilitate discussions, provide data-driven insights, and encourage feedback. Demonstrating your ability to listen and adapt can help ensure everyone understands the value of new measures.

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What is your experience collaborating with teams like Decision Science?

Discuss specific projects where you collaborated with Decision Science teams to leverage data for improving fraud models. Highlight how your contributions enhanced the overall performance of fraud prevention strategies.

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What critical thinking skills have you applied in past roles?

Share examples of complex problems you've solved by applying critical thinking. Discuss how you assessed various factors, gathered data, and made informed decisions to reach effective solutions.

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How do you ensure accuracy in your data analysis?

Explain your processes for validating data accuracy, such as cross-referencing multiple sources or implementing checks during data entry. Demonstrating attention to detail and thoroughness will showcase your commitment to quality.

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Signifyd was founded in 2011. Our two founders came from PayPal, and they were inspired to create a solution that uses big data, machine learning, and expert manual review to provide a 100 percent financial guarantee against fraud on approved orde...

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Full-time, remote
DATE POSTED
December 12, 2024

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