Senior Software Engineer- Financial Markets

About Solidus Labs

At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets. 

With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.

As a young and ambitious company in an extremely dynamic space, any candidate must be independent, accountable, organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture.

We are seeking an experienced and highly skilled Senior Software Engineer to join our dynamic Algos Team. As a Senior Software Engineer, you will play a crucial role in designing, developing, and maintaining advanced algorithms and software solutions that monitor, detect, and prevent fraudulent activities, market abuse, and compliance breaches based on off-chain data and on-chain data.

Responsibilities:

Algorithm Development: Design, implement, and optimize sophisticated algorithms for batch and real-time monitoring of market data and trading activities. Collaborate with quantitative analysts, data scientists, and compliance experts to ensure the effectiveness of surveillance strategies. 

System Architecture: Contribute to the architecture and design of scalable and high-performance software systems that process and analyze large volumes of trading data in batch and real-time. Ensure system reliability, fault tolerance, with high throughput for batch and low-latency performance for RT.

Codebase Maintenance: Review and enhance existing codebase to improve efficiency, maintainability, and overall system performance. Identify areas for optimization and implement necessary changes.

Algorithm Development: Design, implement, and optimize sophisticated algorithms for batch and real-time monitoring of market data and trading activities. Collaborate with quantitative analysts, data scientists, and compliance experts to ensure the effectiveness of surveillance strategies. 

System Architecture: Contribute to the architecture and design of scalable and high-performance software systems that process and analyze large volumes of trading data in batch and real-time. Ensure system reliability, fault tolerance, with high throughput for batch and low-latency performance for RT.

Codebase Maintenance: Review and enhance existing codebase to improve efficiency, maintainability, and overall system performance. Identify areas for optimization and implement necessary changes.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Master's degree or PhD is a plus.
• Minimum of 5 years experience, with 3 years of experience in algorithm development for financial markets, market surveillance, or related fields.
• Proficiency in programming languages such as, Java, Kotlin, C#, C++ or similar, and experience with algorithmic development and optimization.
• Solid understanding of software engineering principles, design patterns, and system architecture.
• Hands on experience with real-time data processing frameworks such as databases, and distributed computing
• Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, dynamic environment.
• Effective communication skills to collaborate with multidisciplinary teams and present complex technical concepts to non-technical stakeholders.
• Experience with monitoring and managing production environments
• Great interpersonal skills and a team player
• Preferred
• Python experience 
• Experience with data analysis, statistical modeling, and machine learning techniques is advantageous.