Renmoney – We’re a team determined to challenge the status quo and make financial inclusion count for millions of under-banked individuals and small business owners by making finance simple and useful to them. Our products suite is led by credit and we’re building broader offers for our users. Our vision is to unlock the power of finance to create opportunities for all.
Currently we are seeking to expand our fast-growing team and we are looking for a Data Science Manager to join us.
The successful candidate will help us build and improve upon our customer decisioning strategy and journey.
Job Description
We are the Place For You, If:
You’re excited about technology and the future, and you’re looking for a place to learn and grow.
You care a lot about detail and pride yourself in impeccable execution.
You can collect and analyze lots of data and feed in just the right amount of intuition to make sound decisions.
You are ready to work extremely hard, at a fast pace, to achieve audacious goals.
You love to speak up, ask questions and are comfortable challenging anyone or any idea.
Responsibilities
Transform business cases to data science (DS) tasks
Identify (DS) opportunities based on data availability
Support and lead the team regarding technical innovation – algorithms, tools, etc.
Manage a team of junior and mid-level data scientists assuring the quality and relevance of their output
Hands-on statistical programming
Ability to deliver complex analytical output to a non-expert audience with a stress on insights and action items
Knowledge sharing.
Requirements
Required:
University Degree or equivalent standard with a high numeric content: Statistics, Econometrics, Business Administration / Economics, Mathematics, Finance e.t.c.
Independent person that can work and deliver projects on their own
Experience with the following software tools – R, Python or similar
4+ years of experience in the analytics field – very strong statistical background along with portfolio of business cases solved leveraging advanced analytics techniques
2+ years in managing people, teams & projects.
Preferred:
Experience with hands-on credit risk scorecards development
Domain knowledge in the Credit Risk working for a banking or non-banking financial institution
Experience working and managing people under agile
This job is perfect for you if you:
Enjoy adding structure and developing approaches to ambiguous problems
Are a self-starter, take initiative, work collaboratively and can self-manage in ambiguity