Job description
We are looking for a colleague for our international partner company for the following position:
Quantitative Researcher
Responsibilities:
Working as part of a team on end-to-end research initiatives to map elements of trader intuition into quantitative models.
Analyzing model performance and sensitivity to factors through running simulation, backtesting, or summarizations of past results.
Optimizing and supporting existing models.
Interfacing directly with traders to understand their use cases and nuance of a given model.
Driving the company forward with new ideas that will impact the way market data is leveraged.
Working with software engineers to ensure the reliable delivery of data and translating research results to production.
Requirements:
Master’s or PhD in Mathematics, Statistics, Physics, Financial Engineering, or other related quantitative field.
1+ years of experience in machine learning, deep learning, statistics, quantitative trading, or any role building models on large datasets.
Programming experience, Python preferred, particularly for exploring large datasets.
Proven track record of applying modeling techniques to real-world problems.
Ability to collaborate with subject matter experts in defining appropriate features and metrics for a given model.
Comfort implementing models from academic papers.
Experience working with large, noisy, or incomplete datasets and investigating underlying data issues.
Good English communication skills.
Occasional travel may be required.
Advantages:
Opportunity to work on complex quantitative research projects with direct impact on trading strategies.
Exposure to cutting-edge modeling techniques and large-scale data challenges.
Collaboration with experienced traders and engineers in an international environment.
Dynamic and innovative industry with continuous learning opportunities.
Your ideas and research will directly influence production systems and business outcomes.
What our partner company offers:
Participation in high-impact research and development projects.
Modern technologies and innovative approaches.
Supportive internal network with experienced professionals.
Dynamic and future-oriented industry.
International corporate environment.
Freedom to shape processes and contribute meaningfully.
Hybrid working model with 3 office days per week.