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Job Details

Machine Learning Engineer at Branch International

Branch International
Company

Branch International

Job Location

Bangalore

Requirement

Immediate

Work Experience

3 Years - 6 Years

Required Qualifications

Bachelor of Engineering / Bachelor of Technology / M. Tech / Master of Engineering /

Job Description

Branch delivers world-class financial services to the mobile generation. With offices in San Francisco, Lagos, Bangalore, Mumbai, and Nairobi, Branch is a for-profit, socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone, everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.

Branch’s mission-driven team is led by founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. Most recently, Branch announced our Series C and has garnered more than $100M in funding with investments from leading Silicon Valley firms.

Job Overview:

Branch launched in India in early 2019 and has seen rapid adoption and growth. In 2020 we are building out a full Engineering team in India to accelerate our success here. This team will work closely with our Engineering team (based in the United States, Nigeria, and Kenya) to strengthen the capabilities of our existing product and build out new product lines for the company.

You will work closely with our Data Science and Product teams on multiple technologies and product areas including designing and evaluating our algorithmic credit scoring models, running experiments to understand the customer experience, developing internal operations tools, and analyzing business metrics. We face numerous interesting technical challenges ranging from maintaining complex financial systems to accessing and processing creative data sources used across our products.

Qualifications:

  • A minimum of 3 years of industry experience along with atleast 1 year of experience in the data science domain
  • You excel at software engineering and programming in Python and SQL for production systems.
  • You have a diverse range of data skills including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
  • You have a keen eye for detail and a healthy scepticism for data before relying upon it.
  • You are highly entrepreneurial. You teach yourself new skills. You take the initiative to solve problems before they arise.
  • You know that startups are a team sport. You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
  • You are driven by making an impact on customers’ lives.

Project Examples:

  • Credit Decisions - Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers
  • Customer Service - Using machine learning, automate customer service interactions and provide context to our customer service team
  • Fraud Prevention - Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors
  • Product Growth - Understand user experiences, test ideas, and improve conversion rates through experimentation
  • Paid Growth / Marketing - Use external and internal data sources to measure and optimize marketing spend

Benefits of Joining:

  • Mission-driven and fast-paced, entrepreneurial environment
  • Competitive salary and equity package
  • Comprehensive private health insurance
  • Generous vacation policy

Location:

This role is based in Bangalore, but we are open to candidates from other locations in India for the right candidate. We will offer relocation assistance for candidates who are relocating to Bangalore.

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

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