Senior Risk Data Analyst at Chipper Cash

Chipper is the largest mobile cross-border money transfer platform in Africa. We are a small passionate team, dedicated to expanding financial inclusion in some of the global regions most in need of accessible, interoperable, easy-to-use, and affordable financial services.

We are recruiting to fill the position below:

Job Title: Senior Risk Data Analyst

Location: Nigeria

About the Job

• We are looking for a Senior Risk Data Analyst to join our Risk Analytics team as we continue our amazing growth trajectory. 

What you will be doing

• 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. 

Responsibilities

• 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.

Job Requirements
What you should have:

• 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.

What we would love to see

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

Application Closing Date
Not Specified.