Senior Risk Data Analyst Jobs – Chipper Cash

  Information Technology (IT) and Data Jobs in Uganda

Job Title:    Senior Risk Data Analyst  

Organisation: Chipper Cash

Duty Station:  Kampala, Uganda

 

About US:

Chipper Cash was founded in 2018 by Ham Serunjogi and Maijid Moujaled, with the aim to “chip away” at the problem of inaccessible financial services, a high population of underbanked consumers, reliance on cash for daily commerce and the difficulty of cross-border transactions. Today, Chipper Cash is connecting more than three million people in Africa, one transaction at a time with an easy-to-use mobile app that makes money transfers fast, secure and free. Whether it’s sending money home to support your family, running a cross-border business or paying local expenses, Chipper Cash saves time, saves money, and opens up new opportunities for Africans everywhere.  Chipper Cash is the largest mobile cross-border money transfer platform in Africa.

 

Job Summary:  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.


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Qualifications, Skills and Experience:

  • At least four years of 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

 

Desired:

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

 

 

How to Apply:

All candidates should apply online at the link below.

 

Click Here

 

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