Senior Data Scientist
to apply please email your CV to jamie@empatkali.co.id
Opportunity Details
Additional Information
About EmpatKali
EmpatKali is a point-of-sale lender which allows consumers to buy their favourite Indonesian fashion and lifestyle brands today, and pay them off over four instalments, interest free!
Here’s a short overview of our progress
- July 2018, we were two startup founders working in a garage in Tangerang without any A/C
- April 2019 we were registered with OJK
- August 2019 we launched into the market
- Now we have 150 merchant partners, have grown 40% MOM since launch
- We have a small team of 20 and we have just completed a significant investment round to expand the business
Here are the three things which are most important to our success:
- Using scale to drive growth whilst delivering for our customers predictability;
- Adopting a mindset of ownership that fosters speed, invention, and resourcefulness;
- Being prepared to fail in small steps, own the failure and learn/adapt quickly
Here are the mindsets which make you a good fit for this company
- Intense curiosity and problem-solving tenacity
- Ability to set outside your area of expertise/responsibility to help the company achieve its goals;
- A focus on delivering superior business outcomes rather than on process compliance
Job Description & Requirements
As a Senior Data Scientist for financial services you will apply your advanced analytical skills and machine learning experience to implement credit risk models, behavioural analytics and pricing models.
Remember – every leader is first a do’er
Specifically, this includes ownership of:
- Credit analysis and scoring using the universe of data which we have available from: publicly available sources, data from industry suppliers and the user’s authorised mobile data
- User profiling to ensure that we develop meaningful cohort analysis on our users to drive better decision-making across the business (Product, Marketing as well a technology and support teams)
- Pricing model and financial risk assessment related to our lending policies
- You will first develop the data pipelines, perform data cleansing and structuring as well as guide the technology team in the design and implementation of the data pool and analytical framework
Qualifications:
- 2+ years of in a financial analysis leadership role with some experience in loan book analysis for another consumer financial services company and are looking to take on additional leadership responsibilities
- You should have existing access to fraud networks and be familiar with e-commerce, retail and credit fraud use cases
Perks and Benefits:
- Performance Bonus
- Private health plan
We take team selection seriously. There will be a number of interviews and we will conduct one real time numerical and verbal reasoning test as well as one timed Data Science problem to solve.
