Job Description

InTune Analytics is building a collaborative, growth-oriented environment focused on advancing quantitative research and production-grade trading systems. The role sits at the intersection of quantitative research, data science, and systems engineering, with a strong emphasis on turning research into scalable, capital-deployable strategies. You will work with large, noisy datasets from exchanges and inventory systems to identify pricing inefficiencies and translate them into systematic trading and capital allocation models. Collaboration with leadership, engineers, and analysts will be essential to continuously optimize capital deployment across our investment portfolio. This position is ideal for a creative, technically strong candidate who has built trading strategies, backtests, simulations, or optimization models—whether in a professional setting or personal projects.
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Responsibilities
Design, implement, and productionize data models using statistical and ML techniques
Perform historical data analysis to identify trends and generate actionable business insights
Build, maintain, and monitor production data pipelines (ETL workflows)
Write and optimize SQL queries in Snowflake and PostgreSQL
Troubleshoot broken pipelines, failed jobs, and production data issues
Deploy models into production and ensure long term reliability
Create and maintain dashboards to communicate key business metrics
Improve automation and optimize existing data workflows

Required Skills & Experience
2-5 years of experience in data science, analytics, or data engineering
Strong Python skills (pandas, NumPy, scikit-learn)
Strong SQL skills (Snowflake + PostgreSQL)
Experience with cloud platforms (AWS, GCP)
Experience with orchestration tools (Airflow or similar)
Experience building or maintaining data pipelines
Comfortable debugging production data issues
Ability to work independently in a remote environment

Desirable Skills & Experience
Experience designing and deploying production-scale trading systems, strong communication skills for cross-functional teams, familiarity with risk management frameworks and framework-level testing, and a demonstrated ability to translate theoretical research into practical, scalable investment tools. Prior exposure to arbitrage strategies, market microstructure, or order-book dynamics is a plus. Self-motivation, strong attention to detail, and the ability to operate effectively in a fast-paced, risk-aware environment are highly valued.

Benefits
Join a collaborative, growth-oriented team at InTune Analytics. We offer competitive compensation, opportunities for continuous learning, flexible work arrangements, and a culture that values experimentation and well-being. If you’re excited by building scalable ML platforms and operating at the intersection of data, software, and AI, we’d love to hear from you.

Trabajo 100% remoto: El cargo puede ser desempeñado desde cualquier lugar del mundo.