Software Engineer, Data

FinAccel is a fun, fast growing company with lofty ambitions. Starting with instant ecommerce financing, we are on a goal to disrupt unsecured lending in Southeast Asia, one of the fastest growing economic regions globally. Our first product, Kredivo, which integrates at merchant checkout, qualifies ecommerce buyers for instant ecommerce purchase financing at rates which are much lower than consumer finance companies. We do this by using breakthrough technology and science to unlock unprecedented insights about credit risk and fraud from multiple data sources: phone, social networks, telco, financial and location data.

FinAccel is founded by an experienced and well rounded team: Akshay Garg (cofounder Komli Media), Umang Rustagi (McKinsey financial services) and Alie Tan (PicStory and Affle). The company is backed by some of the biggest investors in the region: Jungle Ventures, GMO, AlphaJWC and 500 Startups. The company has a flat, egalitarian structure, no politics, no BS; people who are problem solvers and execute fast will thrive here.

FinAccel is not for everyone. People who do well here tend to have a few qualities in common:

• Intelligent
• Intellectually curious
• High ownership over their work
• Strong communicators
• Biased for speed
• Team players
• Excited by an all-in work culture
• Motivated by building innovative products

We provide employees with a work environment which is:

• learning and execution oriented without any politics or excessive managerial overhead,
• where taking initiative is highly valued,
• where making mistakes is encouraged as long as you keep learning from them,
• one of the best compensation structures in the startup world (everyone is a shareholder in the company).

If you feel this is you, then wed love to hear from you.

As a Software Engineer, Data you will be expected to:
Develop and implement Machine Learning pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.

Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.
We are excited to welcome dynamic robust Engineers, successful candidates frequently have a mix of the following qualifications:

1-2 years (for Junior role) and 3-5 years (for Senior role) of relevant experiences in Software Engineering, Data Engineering, and /or Machine Learning Engineering

Ability to write robust code in Python.

High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).

Having baseline knowledge of data structures, data modeling and software architecture related to Machine Learning.

Strong interest in building scalable and reliable Machine Learning / AI related services.

Past experience working with cloud services platform to build data pipeline, monitoring, scheduler and storage, preferably on AWS environment.

Familiarity using a distributed computing platform, such as Hadoop or Spark is a plus.