Blockchain Developer

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.

Job Description : Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modelling on-chain behaviour, 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:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

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.

Be the brain behind a real based tokens project where real liquidity powers P2P trading.

We build next-gen blockchain tokens (ERC20/BEP20/TRC20) that are instantly transferable P2P, divisible, tradable on escrow systems, and backed by real liquidity.

Who We’re Looking For:

IIT graduates preferred with strong Blockchain + DeFi expertise

Solidity + Web3.js / Ethers.js expert

Experienced in tokenomics, stablecoins, AMMs, liquidity pools & P2P escrow

Ability to mint max tokens with minimal liquidity investment while keeping price stable

Key Responsibilities:

Deploy secure ERC20/BEP20/TRC20 tokens

Design liquidity-backed tokenomics

Optimize capital efficiency & AMM strategies

Build P2P escrow smart contracts

Maintain stable token price peg across exchanges

• 4-6 years of proven experience as a Full stack engineer
• 2+ years of Blockchain development experience in Hyperledger Fabric, IPFS and development of smart contracts in Golang.
• Good understanding of multiple Blockchain platforms such as Hyperledger Fabric, Quorum, Ethereum etc
• Experience in Java, JavaScript Experience in developing and designing RESTful services and APIs
• Experience in Microservices architecture
• Sound knowledge on Docker and Kubernetes applications
• Experience in Banking, Financial and Fintech domain is an added advantage
• Familiarity with Blockchain protocols is a plus
• Knowledge of Agile development environment is preferable
• Ability to work within a fast-paced, collaborative environment and handling multiple projects
• Customer-first mentality, intellectual curiosity, and hunger
• Interested in learning new technologies, creative, open-minded and a great team player
• Bachelors or master’s degree in engineering (preferably Computer Science or Information Technology)

Responsibilities:

1. Collaborate with stakeholders to understand business objectives, processes, and requirements.
2. Conduct thorough analysis of business processes, workflows, and systems to identify areas for improvement.
3. Gather, document, and prioritize business requirements using techniques such as interviews, workshops, and surveys.
4. Analyze data to identify trends, patterns, and insights that can inform decision-making and drive business outcomes.
5. Develop and maintain documentation, including business process models, use cases, user stories, and requirements specifications.
6. Work closely with cross-functional teams to ensure alignment between business needs and technical solutions.
7. Facilitate meetings, workshops, and presentations to communicate findings, solicit feedback, and drive consensus among stakeholders.
8. Collaborate with developers, designers, and QA analysts to ensure successful implementation and testing of solutions.
9. Monitor and evaluate the performance of implemented solutions, and recommend adjustments or enhancements as needed.
10. Stay updated on industry trends, best practices, and emerging technologies related to business analysis and process improvement.

Requirements:

1. Bachelor's degree in Business Administration, Management Information Systems, or related field.
2. Proven experience as a Business Analyst or similar role.
3. Strong analytical skills, with the ability to gather and interpret data from multiple sources.
4. Proficiency in business analysis techniques, such as process modeling, data analysis, and requirements elicitation.
5. Excellent communication skills, including the ability to effectively communicate technical concepts to non-technical stakeholders.
6. Solid understanding of project management principles and methodologies.
7. Experience with business analysis tools and software (e.g., Microsoft Visio, Jira, Confluence) is a plus.
8. Ability to work independently and collaboratively in a fast-paced environment.
9. Strong organizational skills and attention to detail.
10. Certification in business analysis (e.g., CBAP, PMI-PBA) is preferred but not required.

Job Position - BlockChain Developer

Experience - 4+ Years

Job Location - Bangalore

Responsibilities:

• Search, design, develop, and test blockchain technologies.

• Brainstorm and help evaluate applications for new tools and technologies as they continually evolve.

• Maintain and extend current client- and server-side applications responsible for integration and business logic.

• Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals.

• Document new solutions as well as maintain the existing ones.

Requirements:

• Total 4+ Years of experience in Backend Development and minimum 1+ years of experience in Ethereum, Blockchain

• Knowledge of any one of the programming languages: NodeJS, Java, GoLang, C, C++, PHP

• Basic understanding of blockchain technology: Bitcoin, Smart Contracts, Solidity, Cryptography

• Knowledge of private blockchains such as Hyper Ledger, and Corda is a plus

• Basic understanding of HTML, CSS, JS, Bootstrap, and knowledge of front-end technologies such as Angular/ React/ Vue is a plus.

• Knowledge in databases and database modeling: MySQL, PostgreSQL, MongoDB

• Understanding of Software Development Lifecycle (SDLC)

• Experience using Git for version control

Technical Experience 

• Solid understanding of and experience in BlockChain Development preferred 
• 2+ years of Blockchain application development experience on platforms such as Ethereum, Hyperledger, BigchainDb, Multi-Chain.  
• Experience in solution building on Blockchain technology.  
• Experience on development tools such as Geth, Hyperledger Fabric/Sawtooth, Composer, Solidity Remix Functional  
• Basic understanding of Web applications architecture and protocols. 
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Any previous integration expertise, Strong in Agile, Banking or Financial Service development expertise, as well as software development in a large Enterprise environment, also required Security Architecture / Cryptography
• Front-end development experience in HTML, CSS, JavaScript, ES6/TypeScript Angular, Node.js, ReactJS . 

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering