Requirements
And Skills:
• Bachelors or Masters in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or related quantitative fields (Ph.D. candidates encouraged to apply)
• Proficient in Python Web Development – Flask
• Knowledge of SQL, Unix, Docker, Git, and relational Databases
• Strong analytical, design, problem-solving, and troubleshooting/debugging skills
• Ability to work independently in a home office and doesn’t need hand holding
• Knowledge of Authentication/Authorization/Payment gateway and deploying apps to production
• Needs to have strong experience in DevOps and deployment pipelines to deploy software to servers(On-premise hosting and Azure)
• Experience in Analytics/Machine Learning project - understand how SkLearn/spark libraries and other machine learning packages operate in web servers
• Should have knowledge of software design patterns and software engineering best practices
• Flexible schedule offered, but you will work evenings most days post your college (anywhere between ~3-5 hours daily)
What You’ll Do, But Not Limited To:
• Write Python code focused on scalability, supportability, and maintainability
• Software development, configuration, and customization
• Diagnosing and resolving issues in production
• Enhancing and developing all aspects of the company’s technology suite by collaborating with development teams to determine application requirements
• Assessing and prioritizing client feature requests
Who You Are:
• Reliable, Independent, and able to wear multiple hats
• Honest - we hold transparency with high regard
• Team Player - likes collaborating and working as a team
• Communicative - can effectively translate goals to other team members
• Self-Starter - able to take ownership of projects and identify what needs to be done
• Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work
• Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes
Nice To Have:
• Pursuing/Completed MS/Ph.D. in Computing, Physics, or other STEM fields
• Intellectually curious and eager to learn about Analytics/Machine Learning
• Prior experience in Financial Services is a plus