Kronos Research
Senior Data Scientist
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead analytics and data design for regulatory reporting and financial crime compliance. Build data models, validation frameworks, automated testing, QA playbooks, and self-service analytics in partnership with Compliance, Finance, DataOps, and Engineering. Investigate anomalies and audit findings, identify root causes, shape risk analytics platforms, and promote analytical rigor and documentation across global teams.
Top Skills:
BigQueryDatabricksDbtEvidenceHexPythonRShellSnowflakeSQL
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead analytical design for regulatory reporting and risk-compliance data infrastructure. Define data logic, models, validation frameworks, automated testing, and QA processes; investigate anomalies and audit findings; partner with compliance, finance, data, and engineering teams; shape scalable reporting platforms; and mentor analysts and data scientists.
Top Skills:
BigQueryDatabricksDbtEvidenceHexPythonRShellSnowflakeSQL
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop end-to-end data science and digital twin solutions for manufacturing, planning, and supply chain operations. Responsibilities include business problem framing, data analysis, mathematical optimization, discrete event simulation, software and pipeline development, API and UI creation, deployment, user adoption, benchmarking, and continuous improvement across global manufacturing sites.
Top Skills:
APIsCC#C++Ci/CdCloud PlatformsDigital TwinsDiscrete Event SimulationEtl/Data PipelinesGitHTML/CSSJavaJavaScriptMathematical OptimizationOperations ResearchPythonSQL
The individual in this role will be a part of a new Data Science team, which is focused on generating extensive research across the crypto market and blockchain. The ideal candidate has experience in large-scale data processing and understands the data science workflow. This opportunity will provide the right candidate an opportunity to have a large impact on the research direction and productivity of a newly formed effort within a successful proprietary trading firm.
Responsibilities:
- Data Sourcing: Identify high-quality and relevant data to support research objectives, then create corresponding tickets for the data team.
- Data Accessibility and Usability: Develop and maintain tools and platforms for better visualization and exploration capabilities for the research team.
- Identify Patterns and Trends: Apply statistical and ML techniques to analyze historical data, detecting patterns and trends for trading strategies and research teams.
- Research and Development: Stay updated on the latest advancements in data science and the crypto industry by monitoring research, industry reports, and attending relevant events.
- Benchmarking: Regularly evaluate and improve existing models by benchmarking their performance against state-of-the-art techniques.
- Performance Metrics: Developing metrics and dashboards to track the performance of trading strategies, individual symbols, and the overall portfolio (including PnL attribution).
Requirements:
- Minimum 5 years in data science field, 2 years in leadership roles
- Master’s degree in EE, CS, Physics, Mathematics or other relevant discipline
- Background in large-scale data processing and analysis
- Skilled in Python programming
- Familiar with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experienced in modeling and forecasting, especially time series analysis (e.g., NLP)
- Experienced in developing and articulating model architecture, strongly emphasizing code quality for effective system design.
- Crypto industry knowledge is helpful but not a requirement.
- Experience in finance and trading is beneficial but not required
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
