Quantitative R&D Engineer

at Deqode

Quantitative R&D Engineer

Deqode

Company

Home

Quantitative R&D Engineer

at Deqode

Posted by Apoorva Jain

0 - 2 yrs

₹6L - ₹12L / yr

Indore

Skills

Python

pandas

Blockchain

GenAI

Generative AI

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance.

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

HR Discussion – A brief conversation to understand your motivation and alignment with the role.
Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
Final Interview – A concluding round to explore your background, interests, and team fit in depth.
Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

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.

About Us

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

HR Discussion – A brief conversation to understand your motivation and alignment with the role.
Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
Final Interview – A concluding round to explore your background, interests, and team fit in depth.
Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

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.

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About Deqode

Founded :

2016

Type :

Products & Services

Size :

100-1000

Stage :

Bootstrapped

About

At Deqode, our purpose is to help businesses solve complex problems using new-age technologies. We provide enterprise blockchain solutions to businesses.

Mohini Bansal

Connect

Company social profiles

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