Machine Learning (ML)
PythonJob Description : Quantitative R&D Engineer
As a Quantitative R&D Engineer, you’ll explore data and design logic that becomes live trading strategies. You’ll bridge the gap between raw research and deployed, autonomous capital systems.
What You’ll Work On
- Analyze on-chain and market data to identify inefficiencies and behavioral patterns.
- Develop and prototype systematic trading strategies using statistical and ML-based techniques.
- Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks.
- Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation.
- Collaborate with engineers to turn research into production-grade, automated trading systems.
Ideal Traits
- Strong in data structures, algorithms, and core CS fundamentals.
- Proficiency in any programming language
- Understanding of probability, statistics, or ML concepts.
- Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.
- Strong interest in markets, trading, or algorithmic systems.
Bonus Points For
- Experience with backtesting or feature engineering.
- Exposure to crypto primitives (AMMs, perps, mempools, etc.)
- Projects involving alpha signals, strategy testing, or DeFi bots.
- Participation in quant contests, hackathons, or open-source work.
What You’ll Gain:
- Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
- Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
- Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
- Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters
What We Value:
- Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
- Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
- Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
- Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.
Compensation:
- INR 6 - 12 LPA
- Performance Bonuses: Linked to contribution, delivery, and impact.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Deqode
About
At Deqode, our purpose is to help businesses solve complex problems using new-age technologies. We provide enterprise blockchain solutions to businesses.
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Full Stack Developer - Averlon