Senior Software Engineer (Java)

About BTSE and DGTL SG

DGTL SG specializes in delivering comprehensive front-office and back-office support tailored to global fintech firms. Working on behalf of BTSE Group, DGTL SG fills several vital roles to support cutting-edge fintech solutions in a competitive global environment.

BTSE Group is a worldwide fintech and blockchain company focused on creating innovative technology and infrastructure. It empowers both businesses and corporate clients by providing advanced tools to thrive in the fast-evolving fintech landscape. BTSE has pioneered multiple industry-leading trading technologies that set high standards for innovation, speed, and security. Their services cater to both retail (B2C) and institutional (B2B) sectors, helping launch, run, and scale fintech ventures.

Role Overview

The Senior Java Engineer will contribute to building and maintaining a real-time data platform. This involves creating a high-performance, low-latency system that processes, normalizes, and computes reference values from various external data sources. The role operates in a fast-paced and collaborative setting, directly impacting the accuracy and dependability of data products used throughout the organization.

Key Responsibilities

• Develop composite reference-value algorithms that maintain stability and accuracy during extreme market input fluctuations.
• Design and uphold aggregation methods like volume-weighted, time-weighted, and median-based calculations for periodic reporting.
• Ensure timely and precise delivery of data feeds and calibration inputs for internal monitoring and control systems, including integrating new data sources to enhance coverage and robustness.
• Perform statistical and time-series evaluations on high-frequency data to identify anomalies, latency issues, and data integrity problems.
• Engineer low-latency capture, normalization, and synchronization mechanisms for external real-time data feeds.
• Partner with DevOps and infrastructure teams to deploy reliable Java code within trading platforms.
• Conduct backtesting and ongoing monitoring of model outcomes, recommending data-driven improvements to boost precision and strength.
• Document all methodologies and contribute to the firm’s internal pricing standardization.
• Provide operational support including on-call troubleshooting for pricing problems and assist with onboarding new financial instruments.

Candidate Requirements

• A passion for global capital markets and expertise in quantitative or systematic data analysis.
• Minimum of 5 years of practical Java development experience.
• Background working with real-time or high-throughput data infrastructures.
• Thorough knowledge of multi-threading, concurrency, and low-latency system architecture.
• Strong grasp of data structures, algorithms, and established design patterns.
• Excellent analytical abilities paired with problem-solving skills and effective communication.
• Proven ability to collaborate and communicate well in team environments.

Desired Skills

• Familiarity with real-time market data feeds or APIs using REST and WebSocket.
• Knowledge of derivative instrument data such as contract specifications and reference rates.
• Experience working with cloud platforms like AWS.
• Hands-on exposure to SQL and NoSQL databases.
• Python programming skills for backtesting, analysis, or tooling purposes.
• Understanding of monitoring, alerting, and control systems within real-time data pipelines.
• Experience using Java backend frameworks such as Spring Boot.

Additional Information

The hiring process may involve artificial intelligence tools to assist with resume review and application analysis. These tools supplement but do not replace human judgment, with the final hiring decisions made by people. Contact the company for details on personal data processing during recruitment.