About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

 

About the Role

As a part of our Data Science team, you'll play a crucial role in building, deploying, and supporting our digital products. Your focus will be on creating robust and resilient systems for Data Science use cases, catering not only to our products but also supporting various business units of Bank Jago, including Go-to-Market (GTM), Risk, and Servicing. You'll collaborate closely with Engineers, Product, and business stakeholders, collectively ensuring that our products maintain a high standard of quality. This role offers the opportunity to witness your impact on the daily lives of Bank Jago's customers while enjoying a dynamic and collaborative work environment.

 

What Will You Do

  • Collaborate cross-functionally to design, develop, and enhance our digital products
  • Shape superior product experiences by refining platforms, services, and tools
  • Engage closely with diverse teams, learning effective communication across departments and cultures
  • Assist in ensuring application performance, security, and responsiveness
  • Continuously improve code quality, streamline processes, and prioritise customer satisfaction

 

What You Need To Have

  • 5 to 7 years of professional experience (Machine Learning / Data Engineering / Software Engineering background are welcome to apply)
  • Proficiency in Python
  • Experience with Agile and Lean/XP practices
  • Strong communication in distributed, multicultural teams
  • Passion for end-to-end experiences and software architecture
  • Balance between quality and timely delivery
  • Adaptability, problem-solving skills, and a positive attitude

 

Desired Bonus Skills 

  1. Innovation Showcase - Highlight personal side projects or unique contributions demonstrating innovative thinking
  2. Machine Learning Proficiency - Knowledge in machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch) is advantageous
  3. Data Engineering Competence - Familiarity with data engineering practices (ETL processes, database design, Apache Spark) is a plus

 

Technologies We Use

Google Cloud - GKE, Kubernetes, BigQuery * Python, JavaScript, Kotlin, Dart, Kafka, MongoDB

Apply for this Job

* Required
resume chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.