Alfred Capital

About the company 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. Eligibility 0-2 years of experience. Freshers are welcome. Evaluation Process 1. Initial Interview – A quick round focused on fundamentals and problem-solving approach. 2. Take-Home Assignment – Assesses research ability, learning agility, and structured thinking. 3. Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning. 4. Final Interview – A concluding round to explore your background, interests, and team fit in depth. Job Description Role: Blockchain Data & ML Engineer As a Blockchain Data & ML Engineer, you’ll work on ingesting and modeling on-chain behavior, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction. What You’ll Work On - Build and maintain ETL pipelines for ingesting and processing blockchain data. - Assist in designing, training, and validating machine learning models for prediction and anomaly detection. - Evaluate model performance, tune hyperparameters, and document experimental results. - Develop monitoring tools to track model accuracy, data drift, and system health. - Collaborate with infrastructure and execution teams to integrate ML components into production systems. - Design and maintain databases and storage systems to efficiently manage large-scale datasets. Ideal Traits - Strong in data structures, algorithms, and core CS fundamentals. - Proficiency in any programming language. - Familiarity with backend systems, APIs, and database design, along with a basic understanding of machine learning and blockchain fundamentals. - Curiosity about how blockchain systems and crypto markets work under the hood. - Self-motivated, eager to experiment and learn in a dynamic environment. Bonus Points For - Hands-on experience with pandas, numpy, scikit-learn, or PyTorch. - Side projects involving automated ML workflows, ETL pipelines, or crypto protocols. - Participation in hackathons or open-source contributions. 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 - Salary: ₹6 - ₹12 LPA - Performance Bonuses: Linked to contribution, delivery, and impact Note: - The company spends considerable effort in training new employees through direct mentoring by senior folks. Candidates willing to commit to 18 months of continued employment need only apply. - There will be a Service agreement of ₹5,00,000.