Chipper Cash is looking for a Senior Risk Data Analyst to join our Risk Analytics team as we continue our amazing growth trajectory.

Chipper Cash is Africa’s modern mobile payments platform. We’re helping friends, families and loved ones stay connected and securely send money across Africa with incredible ease and peace of mind. Our cross-border payments infrastructure also helps merchants and businesses in Africa accept payments on the internet with no friction. Over 3 million users have joined so far, growing very fast. We have raised a total of $152.2M from Jeff Bezos, Joe Montana, and some of the world’s most reputable fintech Venture Capital firms to accelerate the growth of financial services within Africa.

• We are a small team. You will be encouraged to engage in high-level technical decision making, and there will be a lot of room for growth for early hires as the company continues to expand.
• The Chipper team is truly global on a daily basis, you might be interacting with team members in San Francisco, Los Angeles, New York City, London, Accra, Lagos, and Nairobi
• You will not be micromanaged. We have an engineering team culture centered on open-communication, honest feedback, and personal responsibility.

We are looking for analysts that can quickly answer data requests, create accessible and clean reports, and are proactive in suggesting process improvements. Generally, we are looking for motivated and curious learners who are ready to roll up their sleeves and enjoy solving problems proactively. You’ll also work closely with our analytics engineers to operationalize analyses and create democratize-able data in business intelligence tools, as well as our data scientists to scope and communicate findings and impact from advanced statistical models. You will be working on ad-hoc analytical projects that will power effective and long-term solutions for business problems.Here are some examples of projects that you might work on:

• Fraud analysis and prevention – Working with various teams to help to uncover fraudulent transactions and users within the Chipper platform.
• Anti-Money Laundering – Building complex queries and rule-sets to detect suspicious transaction patterns and user networks within the Chipper platform.
• Data engineering – Improving resiliency of data pipelines and architecture in order to gain insight and perform in-depth data analysis.

• 4+ years’ work experience as a data analyst/ data engineer
• Excellent SQL skills and experience querying data warehouses like Snowflake or BigQuery
• Experience working in BI tools such as Looker, Tableau, or Qlikview and experienced in creating meaningful visualizations for business users
• Basic to intermediate knowledge of R/Python; familiarity with statistical methods
• Experience with anti-financial crimes systems, technologies and processes, especially AML transaction monitoring and fraud typologies and rules
• Great communication and people skills. You’re able to translate business problems into analytical solutions and communicate information, ideas and concepts clearly and with empathy for our users and colleagues
• A proactive, curious, and self-driven mindset. You follow through on items without being micromanaged when given appropriate direction. If something doesn’t look right, you dig deeper and ask why?
• You’re an organized person that can plan, organize and manage timelines effectively

• Experience transforming raw data with ETL tools such as dbt or Fivetran
• Previous experience in LookML