About Bjak

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems, and data science enable easy access to financial services that were previously inaccessible or difficult to understand. Our core strengths lie in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service

.

About the Role

We are looking for an experienced Software Engineer - Blockchain to join our team, working on a cutting-edge stablecoin project. You will play a key role in designing, developing, and maintaining blockchain-based solutions that ensure stability, security, and scalability for our stablecoin ecosystem. This is an exciting opportunity to work at the forefront of blockchain and financial technology, contributing to the future of digital currencies.

Key Responsibilities

• Design, develop, and deploy smart contracts and decentralized applications (dApps) to power our stablecoin infrastructure.
• Build and maintain secure, efficient, and scalable blockchain solutions focused on stablecoin functionality.
• Implement and manage smart contracts that ensure the stablecoin's price stability, including algorithms for collateral management and reserve protocols.
• Collaborate with the product, finance, and compliance teams to integrate the stablecoin into financial ecosystems and payment networks.
• Conduct thorough testing and audits of smart contracts to ensure security and compliance.
• Develop tools and APIs to integrate the stablecoin with various decentralized and centralized platforms.
• Research and implement emerging technologies and protocols in the stablecoin and DeFi space.
• Optimize blockchain transaction speeds, minimize gas fees, and improve the user experience.
• Monitor and enhance the security of the stablecoin network, including risk mitigation and incident response.
• Participate in code reviews, contribute to architectural decisions, and mentor junior developers.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid experience as a Software Engineer with a focus on blockchain technologies.
• Expertise in blockchain platforms such as Ethereum, Binance Smart Chain, or Layer 2 solutions.
• Proficiency in programming languages such as Solidity, Rust, Go, JavaScript, or Python.
• Proven experience with smart contract development, testing, and deployment, particularly for stablecoin or DeFi projects.
• Knowledge of consensus algorithms, cryptography, and decentralized finance (DeFi) principles.
• Experience with blockchain scaling techniques (e.g., Layer 2 solutions, sidechains).
• Strong understanding of economic models behind stablecoins, including collateralized and algorithmic designs.
• Familiarity with security best practices for smart contract development and blockchain systems.
• Hands-on experience with version control systems (Git) and CI/CD tools.

Preferred Qualifications

• Experience working with or developing stablecoin projects.
• Knowledge of regulatory frameworks surrounding digital assets and stablecoins.
• Familiarity with on-chain/off-chain oracles, liquidity pools, and cross-chain solutions.
• Experience with decentralized governance models.
• Contributions to open-source blockchain projects.

• Remote work
• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry!
• Fast moving, challenging and unique business problems
• Attractive remuneration and performance incentives
• Strong learning and development plans for your career growth
• International work environment and flat organization
• Competitive salary
• Flexible working hours & arrangement

Apply Now:

• Collaborate with quantitative researchers to understand their workflow, challenges, and requirements, and provide technical solutions to improve their research productivity
• Design, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development
• Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities
• Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation
• Conduct code reviews, provide technical guidance, and mentor junior research engineers to ensure code quality, maintainability, and adherence to best practices
• Collaborate with cross-functional teams, including quantitative researchers, data scientists, and engineering professionals, to integrate research tools and systems into the existing infrastructure
• Assist in the evaluation and implementation of third-party tools, libraries, and data sources that can enhance the research process
• Participate in research discussions, contribute ideas, and provide technical expertise to improve research methodologies and strategies
• Contribute to the development and maintenance of documentation, user guides, and training materials related to research tools and processes

• 4+ years experience working in close partnership with quantitative researchers to develop, deploy and maintain quantitatively-driven alpha strategies.Previous experience at a quantitative hedge fund is strongly preferred.
• Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field
• Strong Python programming skills, with a focus on building scalable and efficient systems
• Proficiency in data processing, analysis, and visualization tools, libraries, and frameworks
• Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research
• Experience with AWS
• Excellent problem-solving skills and the ability to design practical solutions to complex research challenges
• Strong communication and collaboration skills to effectively work with cross-functional teams and translate research requirements into technical solutions
• Experience in recruiting, mentoring, and guiding junior team members is preferred

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.

The salary for this role is anticipated to be between $150,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.

Apply Now:

We are seeking a skilled and experienced Data Engineer. This is a high impact role with the ability to contribute meaningfully to the development and management of our data engineering platform. This position requires strong technical capabilities and a proven ability to collaborate effectively with quantitative researchers, facilitating seamless cooperation to process, analyze, and manage a large and diverse corpus of datasets that enable our quantitative investment process.

Key Responsibilities:

• Work closely with quantitative researchers to understand their data requirements, provide technical solutions, and integrate data engineering processes effectively with quantitative strategies
• Design, develop, and optimize robust data pipelines, enabling ETL processes that support quantitative research, analysis, alpha forecasting, and execution
• Implement rigorous data quality assurance measures to ensure the accuracy, reliability, and consistency of data inputs and outputs
• Evaluate, select, and manage the appropriate data engineering tools, technologies, and infrastructure, with a focus on scalability and automation
• Collaborate with compliance and risk management teams to ensure data privacy, security, and regulatory compliance standards are adhered to
• Effectively communicate complex technical concepts to non-technical stakeholders, enabling them to understand the value and impact of specific data engineering initiatives

Skillset and Qualifications:

• 3+ years experience in data engineering. Previous experience at a quantitative hedge fund is highly desirable.
• Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field
• Proficiency in programming languages such as Python and C++, along with experience in big data technologies. Strong knowledge of SQL and relational databases.
• Demonstrated expertise in designing and optimizing data pipelines, data modeling, ETL processes, data warehousing, and data governance
• Proven ability to collaborate effectively with quantitative researchers and other stakeholders, translating their requirements into technical solutions
• Strong analytical and problem-solving skills, capable of analyzing complex datasets, identifying patterns, and extracting meaningful insights
• Thrive in a fast-paced and dynamic environment, adaptable to changing priorities and emerging technologies
• Strong verbal and written communication skills
• Ability to travel periodically between our offices in London and NYC

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.

Apply Now: