Fund Flow Quant Analyst — Research & Modeling

Point72; England; Sur place; GBP 112 000 - 150 000; Plein temps

Résumé du poste

Point72 is seeking a Quantitative Analyst to join its Fund Flow Research team. The role focuses on producing indicators that help PMs, analysts, and traders understand their investment backdrop, assess risk and identify alpha opportunities, while refining current offerings.

You will work with PMs and analysts, contribute to model development, and handle data production and internal communications in a fast-paced environment, requiring a technical degree and strong Python/SQL skills, with

Qualifications

• Undergraduate degree or higher in a technical field.
• Quant research or development experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Strong written and verbal communication skills.
• Passion for research, markets, and problem solving.
• Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment.
• Commitment to the highest ethical standards.

Responsabilités

• Refine and advance current product offerings.
• Contribute to research efforts formalizing and building new models.
• Assist in daily workflow contributing to internal communications and data production.
• Work with PMs and analysts to answer questions and identify needs and additional features.

Connaissances

Quant research

Time series analysis

Attention to detail

Multitasking

Communication skills

Formation

Bachelor's degree in a technical field

Outils

Python

SQL

Description du poste

Point72 is seeking a Quantitative Analyst to join its Fund Flow Research team. The role focuses on producing indicators that help PMs, analysts, and traders understand their investment backdrop, assess risk and identify alpha opportunities, while refining current offerings.

You will work with PMs and analysts, contribute to model development, and handle data production and internal communications in a fast-paced environment, requiring a technical degree and strong Python/SQL skills, with