Data Scientist - Systematic Trading

Role Overview

Join our data science team to drive innovation and insights through advanced analytics, experimentation, and strategic communication. You'll help shape data-driven decisions in a dynamic environment.

Key Responsibilities

Data Insight Development: Investigate complex datasets to extract trends and key relationships, utilizing visual tools to communicate findings effectively.

Model Construction & Optimization: Design and deploy machine learning algorithms to forecast business metrics and enhance operational efficiency.

Experimental Design: Construct and manage experiments to validate predictive models and inform business strategies.

Insight Communication: Translate analytical results into actionable recommendations for cross-functional stakeholders.

Minimum Qualifications

Professional Experience: At least 3 years working in high-velocity sectors like finance or similar industries.

Coding Expertise: Proficient in Python and R; experienced with core libraries such as Pandas, scikit-learn, and TensorFlow.

Visualization Skills: Adept at building data dashboards and visual narratives using platforms like Tableau.

Statistical Fluency: Deep knowledge of statistical techniques and their real-world applications.

Database Mastery: Skilled in writing and optimizing complex SQL queries for data extraction and transformation.

Preferred Qualifications

Cloud Familiarity: Exposure to environments like Google Cloud Platform (GCP).

Big Data Acumen: Experience with distributed computing tools such as Apache Spark and Kafka.

Pipeline Design: Understanding of data ingestion frameworks and ETL best practices.