Data & AI Tools Intern — Systematic Strategies

Schonfeld; Hong Kong; On-site; HKD 100,000 - 167,000; Full time

Job summary

Schonfeld is seeking a Data & Business Analyst Intern to join the Systematic Strategies COO (SCOO) team in a data-driven role. You will integrate enterprise data, build AI-assisted tools, and develop dashboards to surface KPIs and trading analytics across platforms.

You will collaborate with Technology, Risk, Operations, and Reference Data teams, focusing on data quality, data schemas, and scalable analytics while learning systematic trading workflows and enterprise data architecture.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Finance, or a related quantitative field (with ≤ 1 year left in your program).
• Proficient in Python (Pandas, FastAPI/Flask, OOP) and SQL (query optimization, data modelling) - able to deliver rapid ad-hoc analyses and scale them into production-ready tools within the broader tech stack.
• AI/LLM tool development experience or strong interest; experience with agent skills, MCP servers, or RAG systems is a plus.
• Rapid learning ability and comfort with ambiguity - you'll need to quickly understand unfamiliar systems by reading technical docs, talking to engineers, and experimenting.
• Hands‑on experience in dashboard development (Power BI, Grafana, HTML) and knowledge of workflow orchestration tools (Prefect, Airflow, Dagster)
• Genuine interest in understanding how systematic trading works - execution flows, broker relationships, business operations, and the data that supports decision‑making.
• Strong analytical thinking, attention to detail, and the ability to communicate technical concepts to non‑technical stakeholders
• Comfort working autonomously in a fast‑paced, global, highly collaborative environment

Responsibilities

• Investigate and integrate multiple enterprise data sources to build a unified analytics library for the SCOO team, handling diverse endpoints (PostgreSQL, REST APIs, Kafka streams)
• Design and deploy AI-assisted data tools using agent skills and Python libraries that enable non-technical stakeholders to query complex data through natural language
• Build production dashboards and automated reports (Power BI, Grafana, or HTML) that surface trading activity, vendor relationships, execution analytics, and operational KPIs
• Automate manual processes including quarterly updates, onboarding tracking, expense reconciliation, and other tasks that require recurring data pulls using orchestration frameworks such as Prefect and Airflow
• Collaborate across Technology, Risk, Operations, Reference Data, and Execution Services teams to understand data schemas, navigate access permissions, and validate data quality across systems
• Create scripts and schemas for ad-hoc analyses (e.g., “How has average FX ticket size changed over time?”).
• Document processes and proactively surface ideas to improve efficiency, data quality, and transparency across the Platform

Skills

Python (Pandas, FastAPI/Flask, OOP)

SQL

Data integration

AI/LLM tool development

Dashboards

Power BI

Grafana

HTML

Workflow orchestration (Prefect, Airflo

Airflow

Dagster

Kafka

REST APIs

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Finance

Tools

Power BI

Grafana

HTML

Prefect

Airflow

Dagster

REST APIs

Kafka

Job description

Schonfeld is seeking a Data & Business Analyst Intern to join the Systematic Strategies COO (SCOO) team in a data-driven role. You will integrate enterprise data, build AI-assisted tools, and develop dashboards to surface KPIs and trading analytics across platforms.

You will collaborate with Technology, Risk, Operations, and Reference Data teams, focusing on data quality, data schemas, and scalable analytics while learning systematic trading workflows and enterprise data architecture.