Software Engineer (Backend- Python)
NavaFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor's degree in Computer Science or a related field, and at least 3 years of experience in software engineering. They must demonstrate proficiency in writing maintainable, tested, and production-ready code, with familiarity in Python and relevant data science libraries, as well as experience with backend frameworks such as Django, Flask, or FastAPI. Strong computer science fundamentals in data structures, cloud infrastructure, distributed systems, machine learning, and high-performance computing are required, alongside the ability to learn continuously and make independent decisions.
Engineers at QuantCo will own systems from end to end, collaborating closely with internal stakeholders and colleagues to develop and implement industry-leading models into clients’ businesses, and they will be responsible for the design, development, testing, deployment, and operation of business-critical systems, bridging the worlds of infrastructure, software engineering, and data science. They will also contribute to the development of groundbreaking products for clients such as Google, Tesla, and Amazon, and leverage expertise in data science, engineering, and economics to help organizations turn data into decisions.
Data analytics for business decision-making
QuantCo specializes in transforming data into actionable business decisions. The company offers specialized products such as algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. These products help businesses optimize operations, set optimal prices, manage insurance claims efficiently, and predict future trends accurately. QuantCo differentiates itself from competitors by combining advanced data expertise with practical business knowledge, thanks to a diverse team of over 100 experts in economics, data science, software engineering, and machine learning. The goal of QuantCo is to create significant economic impacts for its clients, which include large organizations in financial services, retail, industrial, and healthcare sectors, by providing tailored solutions that enhance decision-making and drive revenue.