Senior Level Blockchain Developer (Solidity)

Responsibilities:

• Develop application functionality using various coding languages.
• Setting security measures against various types of cybercrimes.
• Maintain client and server-side applications.
• Train the fellow team members on blockchain technology.
• Attend meetings, brainstorm sessions, and daily standup for enhancing your knowledge of new technologies.
• Adhering to all the rules and regulations of data protection for digital payments.
• Staying updated with the latest crypto technologies for data protection.

Required Skills:

• 6+ years of exp in Designing, developing, and testing blockchain systems.
• Ability to write efficient and modular code.
• Good exp in preparing documentation on the blockchain development processes.
• Securing the blockchain network with new technologies.
• Utilize cryptography techniques to protect against hackers and other cyber attacks.

Responsibilities:-

Ø  Research, design, develop, and test blockchain technologies.

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

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

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

Ø  Document new solutions as well as maintaining that of existing ones.

Skills:-

Ø  Strong  software development background.

Ø  Experience working with large codebases.

Ø  Experience working with open-source projects.

Ø  Proficiency in one of the following languages: C++, Java, JavaScript ( Depending on the project ).

Ø  Strong  knowledge of common algorithms and data structures.

Ø  Familiarity with basic  cryptography.

Ø  Familiarity with P2P networks.

Ø  Strong knowledge of bitcoin-like blockchains.

Ø  Strong knowledge of concurrency and writing efficient and safe multithreaded code.

Ø  Strong knowledge of STL, C++11 ( In the case of a blockchain-based on C++ ).

Ø  Proficiency in the Qt Widgets module ( Applies to projects where a GUI wallet application is needed ).

We are a Quantitative Trading firm building proprietary trading products and infrastructure for crypto markets (both DeFi and CeFi). We are focusing heavily on building up our DeFi capabilities and are looking for a hungry DeFi native engineer to help us conceptualize and build our DeFi strategies and infrastructure.

We are a high-output research team of 5 from a variety of backgrounds, spanning from Machine Learning and System Engineering, all the way to fintech and business.

We build products for both internal and external use to uncover alpha opportunities in different areas of crypto markets, including trading both on centralized and decentralized exchanges (DeFi) and building systems to streamline order execution, gather and digest complex timeseries data streams.

We are looking for a DeFi Software Engineer who has a deep understanding of blockchain and is curious about algorithmic trading. You should be excited about making sense of large quantities of data, and decision modelling on time series, real-time data.

Responsibilities

• Designing, building and testing smart contracts and related infrastructure
• Researching new DeFi protocols and its connectors and building on them
• Building real-time monitoring tools and working with our team on latency-sensitive operations
• Ethereum Node Infrastructure setup and maintenance
• Work with the team on devising new trading strategies and uncovering opportunities

Qualifications

• Deep technical and practical understanding of DeFi protocols and DevOps practices for interfacing with them (both Ethereum and any other relevant one) - Must have extensive knowledge of Solidity, smart contract development (web3js or ethersjs) and testing.
• Knowledge of Javascript (knowledge of Golang/Python programming is nice to have).
• Must be comfortable working with either hardhat or truffle.
• Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
• You look forward to working with an interdisciplinary team that longs to find solutions together.
• Knowledge of trading isn't required but interest in the field is paramount. If you are a self-taught wiz who has tried its hands at DeFi trading and AMM, even better!

The number of years of experience does not matter as long as you have built complex projects from scratch, a burning desire to learn more, constantly improve yourself and solving tricky problems on a daily basis. We're a small team so you can assure yourself that whatever you contribute - in terms of an engineer, or otherwise - is always heard and discussed.

Benefits

• Competitive salary and performance-based bonuses
• A young startup work environment, where your initiatives and ideas count and are rewarded
• A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
• The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do.

The role location is preferably Hyderabad with to be able to brainstorm in person with the R&D team, but remote in India is also possible.
Please share github profiles and details of previous projects worked on (both commercial and personal).

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