Data Analyst - Risk Management and Monitoring

Summary

Join Sezzle, a leading financial technology company, as a Data Analyst in Risk Management and Monitoring. You will collaborate with various teams to identify, define, and track key risk indicators, enhancing our solutions' performance and safety. Responsibilities include developing collaborative insights, defining KPIs and creating dashboards, proactively monitoring risks, visualizing data, and ensuring continuous improvement. This role requires a degree in a quantitative discipline, 4+ years of data experience, SQL expertise, and Python proficiency. Preferred qualifications include a graduate degree and experience optimizing operational and financial performance. Sezzle offers a remote U.S.-based position with a competitive salary.

Requirements

• Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
• 4+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, or machine learning
• Expert in using SQL to extract data and create actionable data sets
• Experience with Python for data processing and analytics
• Ability to complete analyses with minimal guidance
• Experience with data visualization tools such as Redash, SAS VA, Tableau, Looker, Power BI or other data analytics and reporting tools
• Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
• Attention to detail and ability to multitask
• Excellent problem-solving skills
• Strong business judgment and communication skills (both verbal and in writing)
• Fluent in English (C1 or above)

Responsibilities

• Work closely with cross-functional teams to gain a deep understanding of each solution and its potential impact on Credit and Fraud Risk indicators
• Define critical Key Performance Indicators (KPIs) for monitoring and build comprehensive dashboards to ensure visibility across relevant metrics
• Establish effective alert mechanisms, optimizing them to reduce false negatives and minimize false positives, ensuring rapid and reliable response to emerging risks
• Design clear, compelling visualizations and interpret analytics results for stakeholders, enabling timely, data-driven decision-making across departments
• Regularly evaluate and refine monitoring approaches to adapt to evolving risks, business objectives, and stakeholder needs

Preferred Qualifications

• Graduate degree in a quantitative discipline
• Experience optimizing operational and financial performance

Benefits

• Remote U.S.-based position
• $2,000 - $4,580 USD gross per month (Based on experience and performance during the process)