Overview:
This role is the combination of software engineering and quantitative finance. You’ll design systems for backtesting investment strategies, optimize data-intensive applications, and manage CI/CD processes.
Requirements:
- 4+ years of software engineering experience.
- Proficient in backtesting quantitative investment strategies using Python.
- Skilled in building and maintaining complex, data-intensive applications.
- Expertise in database optimization (MongoDB/Postgres).
- Familiar with version control, CI/CD pipelines, and production issue troubleshooting.
- Excellent communication, attention to detail, and willingness to learn.
- Nice to have: Blockchain and smart contract knowledge.
Responsibilities:
- Design and maintain systems for backtesting investment strategies.
- Build and optimize data-intensive applications.
- Fine-tune databases and ensure seamless CI/CD deployments.
- Monitor live systems and resolve production issues.
- Collaborate on architecture and build systems from scratch.
Job Details:
- Job Type: Onsite, Lower Parel
Interview Process:
- Initial Screening
- Intro-call with the founder (tech + culture fit)
- Technical assignment
- Technical Round
- Final Technical Round(if needed)
- Final Discussion with the founder (Salary Negotiation)