
AI-Driven Financial Services Professional
4 days ago
Machine Learning Engineer Role
Job DescriptionBranch is a leading financial services provider that leverages data science to reduce the cost of delivering financial services in emerging markets. Our mission-driven team is passionate about our customers, fearless in the face of barriers, and driven by data. We value bottom-up innovation and decentralized decision-making, empowering everyone to propose solutions to challenges we face.
We are expanding our product portfolio as well as our user base in all our markets, including India. As a Machine Learning Engineer, you will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used for underwriting and loan servicing decisions.
Machine Learning sits at the intersection of Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we believe that for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process. We emphasize the importance of software engineering skills and experience for this role.
As an engineering team, we strive to create an environment where everyone feels empowered to propose solutions to challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.
Responsibilities- Credit Decisions: Build signals from unstructured and structured data to identify good borrowers.
- Customer Service: Automate customer service interactions using machine learning and NLP, providing context to our customer service team.
- Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
- Teamwork: Bring your experience to bear on the technical direction and abilities of the team, working cross-functionally with policy and product teams.
- 2+ years of hands-on experience building software in a production environment, preferably in a startup or early-stage team.
- Excellent software engineering and programming skills, especially in Python and SQL.
- A diverse range of data skills, including experimentation, statistics, and machine learning, used to inform business decisions.
- A deep understanding of cloud computing infrastructure and data pipelines in production.
- Self-motivation: Teach yourself new skills, take initiative to solve problems before they arise, and roll up your sleeves to get things done.
- Team motivation: Listen to others, speak your mind, and ask the right questions, collaborating and teaching effectively.
- The drive to make a positive impact on customers' lives.
- Mission-driven, fast-paced, and entrepreneurial environment.
- Competitive salary and equity package.
- A collaborative and flat company culture.
- Fully-paid group medical insurance and personal accidental insurance.
- Unlimited paid time off, including personal leave, bereavement leave, and sick leave.
- Fully-paid parental leave — 6 months maternity leave and 3 months paternity leave.
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