Quants Associate - Data Science
About The Position
This role exists within our Quant organization to help turn large, complex datasets into clear insights that support better decision-making across the team. You'll sit within a cross-asset quant team where different members specialize in equities, municipal bonds, corporate bonds, and other asset classes. You'll develop deep expertise in one area while gaining broader exposure to how data science is applied across multiple markets. The Junior Data Scientist will work closely with senior quants and team members to build, test and improve data-driven models that enhance pricing, risk assessment, and operational efficiency. By delivering reliable analysis and scalable tools, this role contributes to more informed strategies, improved performance, and reduced manual effort. It supports the team's broader goal of using data to drive smarter, faster, and more consistent business outcomes.
Requirements
- Master's degree in computer science, mathematics, statistics, engineering, or related quantitative field. PhD is a plus.
- Strong programming skills in Python, including experience with data analysis libraries such as Pandas and NumPy
- Hands-on experience building and evaluating machine learning models using frameworks such as scikit-learn, PyTorch, or TensorFlow
- Strong foundations in probability and statistics, including hypothesis testing and analysis techniques
- Experience working with real-world datasets and developing data-driven solutions through academic or project work
Nice To Haves
- Experience with KDB/q or familiarity with time-series databases and large-scale data systems
- Basic knowledge of SQL and working with relational databases
- Experience with Java or other object-oriented programming languages
- Interest in financial markets and curiosity about how different asset classes operate
Responsibilities
- Collaborate with traders, quants, and senior team members to translate business questions into data-driven solutions
- Develop and test statistical and machine learning models to support pricing, risk, and decision-making
- Analyze structured and unstructured data to identify patterns, trends, and actionable insights
- Develop specialized expertise in one asset class (such as equities, municipal bonds, or corporate bonds) while collaborating with team members working across other markets
- Monitor model performance and improve accuracy through ongoing validation and refinement
- Create clear visualizations and reports to communicate findings to both technical and non-technical stakeholders
- Assist with automating manual processes to improve efficiency and scalability across workflows
- Build and maintain data pipelines to collect, clean, and organize large datasets for analysis
Benefits
- Competitive compensation and a comprehensive benefits package supporting your overall well-being
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
