Data Analyst - Risk Management and Monitoring

Company 

Sezzle is a leading financial technology company dedicated to empowering consumers by offering flexible payment options and innovative shopping experiences. Our "buy now, pay later" platform enables millions of customers to make responsible purchases, manage payments, while driving growth for thousands of merchants. Additionally, Sezzle’s shopping solutions provide consumers with seamless, personalized experiences across a diverse range of retailers. We are committed to fostering financial inclusion and delivering cutting-edge technology to shape the future of commerce. 

Compensation

Sezzle is a remote U.S.-based company listed on NASDAQ. Our salary ranges are as follows:

• $2,000 - $4,580 USD gross per month (Based on experience and performance during the process)

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Position 

As a Data Analyst at Sezzle, you will play a crucial role in identifying, defining, and tracking key risk indicators to enhance our solutions' performance and safety. You will collaborate closely with Credit Risk, Fraud Risk, Product, Support, Compliance, and Marketing teams to understand their solutions and contribute to the seamless integration of risk controls. Your analytical expertise will help drive the continuous optimization of monitoring metrics, alert systems, and reporting processes, ensuring our stakeholders (Credit and Fraud Risk Teams) have actionable insights to make informed decisions. 

Key Responsibilities Include: 

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

Minimum 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 -Critical 
• 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)

Preferred Knowledge and Skills: 

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

The Tech You’ll Work With:

• Redshift, PostgreSQL
• Python
• Data build tool (dbt)
• AWS, G Suite, Mac

About You: 

• A+ character. We are team-first here at Sezzle.
• A hard-working mentality. There is still a lot to build. 
• An excellent communicator. 
• A fun attitude. Life is too short. We can have fun while we work hard on cool things. 
• Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others. 

Equal Employment Opportunity: Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.

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