Thurn Partners

About the Company

Thurn Partners is a Global Search, Research and Capital Introduction business.

Thurn Partners connects the leadership teams of hedge funds, fund of funds, proprietary trading firms, and seeding businesses to unique, business-impactful professionals, in order to scale, diversify or otherwise enhance their business.

The firm employs a systematic, research-driven approach to search and advisory, offering services across portfolio management, research, data science and engineering.

Partnering with international investors, we facilitate introductions to seeding capital for individuals or teams looking to establish a hedge fund, across both the discretionary and systematic investment markets.

Thurn Partners brings together a diverse team to leverage collective knowledge and outlook. Utilising cutting-edge technology and a data driven, systematic approach, we champion a culture of collaboration, ideas sharing and continuous improvement. Teamwork is at our core, empowering colleagues to thrive and creating a winning mentality where we learn from each other, inspire one another, and share in our successes.

Thurn Partners is a young, dynamic, value-driven business, operating globally, with a focus across North America and Europe.

Listed Jobs

Company Name

Thurn Partners

Job Title

Sector Data Scientist

Job Description

Job title: Sector Data Scientist Role Summary: Monitors and analyzes heterogeneous data sources to inform investment decisions, working closely with senior portfolio managers to translate research narratives into actionable, data‑driven insights and scalable analytical tools. Expectations: * Deliver high‑quality, concise findings that influence capital allocation decisions. * Act as a trusted data partner to investment teams, enhancing research rigor and speed. * Build and maintain dynamic datasets, analytical frameworks, and decision‑support systems. Key Responsibilities: * Partner with investment teams to understand research objectives and identify data‑driven opportunities. * Aggregate, clean, and analyze structured and unstructured datasets to test investment theses. * Rapidly assess data relevance, detect emerging market trends, and separate signal from noise. * Identify key operational and fundamental drivers across companies and sectors. * Present findings in clear, concise reports tailored for senior investors. * Develop and evolve scalable datasets, statistical models, and analytical tools. Required Skills: * Advanced proficiency in Python (Pandas, NumPy, scikit‑learn, etc.) and strong SQL. * Robust statistical modeling and quantitative analysis experience. * Ability to work with large, complex, or unstructured data sets. * Deep intellectual curiosity about markets and investing. * Strong communication skills to translate research narratives into data‑driven insights. * Prior exposure to investment management, equity research, or buy‑side analytics. Required Education & Certifications: * Bachelor’s degree in Statistics, Engineering, Economics, Computer Science, Physics, or a related quantitative discipline. * Relevant certifications (e.g., CFA, FRM, or advanced analytics credentials) are a plus but not mandatory.

New york, United states

On site

02-02-2026

Company Name

Thurn Partners

Job Title

Alternative Data Scientist

Job Description

Job title: Alternative Data Scientist Role Summary: Drive signal discovery and deployment by transforming large, messy alternative datasets into predictive trading features. Expectations: Deliver measurable, production‑ready signals; maintain data quality; influence research and trading priorities. Key Responsibilities: - Evaluate diverse alternative data sources (transactional, behavioural, geospatial, web‑derived). - Design and run experiments to test data quality, stability, coverage, and predictive power. - Build statistical and machine‑learning models to create usable features and signals. - Develop and maintain frameworks for monitoring signal decay, bias, and long‑term performance. - Communicate insights to quantitative researchers and stakeholders to shape research/trading strategies. Required Skills: - Advanced proficiency in Python (pandas, scikit‑learn, etc.). - Strong SQL for large‑scale data manipulation. - Expertise in statistics, experimentation, and applied ML in noisy environments. - Experience assessing real‑world usefulness of alternative data. Required Education & Certifications: - Bachelor’s or Master’s degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline from a top‑tier university. - 2–5 years of data science or research experience within a hedge fund, market maker, or investment bank.

New york, United states

On site

Junior

02-02-2026