Susquehanna International Group, LLP, Quantitative Research
Economics
Mathematics
Management Science & Engineering
Operations Research (more...)
Position Description
Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional
researchers to join our dynamic team. As a Machine Learning Researcher, you
will apply advanced ML techniques to a wide range of forecasting challenges,
including time series analysis, natural language understanding, and more. Your
work will directly influence our trading strategies and decision-making
processes.
This is a unique opportunity to work at the intersection of
cutting-edge research and real-world impact, leveraging one of the
highest-quality financial datasets in the industry.
What You’ll Do
- Conduct
research and develop ML models to enhance trading strategies, with a focus
on deep learning and scalable deployment
- Collaborate
with researchers, developers, and traders to improve existing models and
explore new algorithmic approaches
- Design
and run experiments using the latest ML tools and frameworks
- Develop
automation tools to streamline research and system development
- Apply
rigorous scientific methods to extract signals from complex datasets and
shape our understanding of market behavior
- Partner
with engineering teams to implement and test models in production
environments
What We’re Looking For
We’re looking for research scientists with a proven track
record of applying deep learning to solve complex, high-impact problems. The
ideal candidate will have a strong grasp of diverse machine learning techniques
and a passion for experimenting with model architectures, feature engineering,
and hyperparameter tuning to produce resilient and high-performing models.
·
PhD in Computer Science, Machine Learning,
Mathematics, Physics, Statistics, or a related field
- Strong
track record of applying ML in academic or industry settings, with 5+
years of experience building impactful deep learning systems
- A
strong publication record in top-tier conferences such as NeurIPS, ICML, or
ICLR
- Strong
programming skills in Python and/or C++
- Practical
knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow,
especially in production environments
- Hands-on
experience applying deep learning on time series data
- Strong
foundation in mathematics, statistics, and algorithm design
- Excellent
problem-solving skills with a creative, research-driven mindset
- Demonstrated
ability to work collaboratively in team-oriented environments
- A
passion for solving complex problems and a drive to innovate in a
fast-paced, competitive environment
Why Join Us?
- Collaborate
with a world-class team of researchers, engineers, and traders
- Gain
access to best-in-class financial data and high-performance computing
resources
- Directly
impact real-time trading performance through your work
- Thrive
in a collaborative, intellectually rigorous environment with a global
footprint
Susquehanna does not accept unsolicited resumes from
recruiters or search firms. If you're a recruiting agency and want to partner
with us, please reach out to recruiting@sig.com. Any resume or referral
submitted in the absence of a signed agreement will not be eligible for an
agency fee.
We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.sig.com/job/9399/Machine-Learning-Researcher-PhD-2026

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