What are the responsibilities and job description for the Quantitative Researcher - Data Scientist position at Virtual?
Quantitative Researcher / Data Scientist
We are looking for a skilled Quantitative Researcher or Data Scientist to design and implement advanced models and strategies. This role offers a high degree of independence and the chance to work on challenging, impactful projects that merge finance, mathematics, and technology.
Responsibilities
Develop and refine quantitative models and trading strategies.
Perform deep statistical analysis on large datasets.
Design and enhance machine learning models for predictive analytics.
Work closely with software engineers to integrate and optimize strategies.
Conduct thorough backtesting and validation of models.
Help build and improve research infrastructure and tools.
Stay up to date with the latest trends in quantitative finance and machine learning.
Required Skills & Experience
2-6 years of experience in statistical analysis, machine learning, and predictive modeling.
Comfortable working in a fast-moving, dynamic environment.
Strong experience handling large datasets and distributed computing.
Familiarity with programming languages such as Rust, Scala, C, C , or Java.
Preferred Qualifications
Hands-on experience developing predictive models for decision-making.
Knowledge of Bayesian inference techniques.
Understanding of software development best practices and version control.
Experience managing the full lifecycle of data science projects.
Familiarity with cloud computing platforms (e.g., GCP, Kubernetes) for large-scale data analysis.
Advanced degree (Master’s or Ph.D.) in Mathematics, Physics, Computer Science, Statistics, or a related field.
Key Traits
Strong problem-solving and analytical skills.
Creativity in developing quantitative solutions.
Self-motivated with the ability to work both independently and collaboratively.
Deep curiosity and passion for data-driven decision-making.
What’s Offered
A chance to work on cutting-edge research and development.
Profit-sharing opportunities tied to performance.
Access to extensive datasets and computational resources.
A collaborative, fast-paced work environment with direct input into key initiatives.
Qualified candidates with a passion for quantitative research and data science are encouraged to apply.
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