How do I apply for the Fundamental Equities Data Analyst position at Point72 and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Fundamental Equities Data Analyst role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Fundamental Equities Data Analyst at Point72?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Point72 provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Fundamental Equities Data Analyst

Point72

Found 1 month ago

Location

Paris, France

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
R

Soft Skills

Team player
entrepreneurial spirit
good communication skills
Deep intellectual curiosity
lifelong-learning mindset
Commitment to the highest ethical standards

Job Description

As a hybrid data analyst/data engineer embedded in an investing team, you will help drive innovation by leveraging a variety of data sources and systems. You will work directly with a Portfolio Manager and their team of research analysts to connect data and fundamental research. Your work will support investment theses and help inform investment decisions. This role will start on a 6-month contract with the opportunity to renew. Specifically, you will: * Help analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities. * Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector. * Build technologies to bolster research and trading efficiency. * Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making. * Automate and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams. * Investigate and explore innovative approaches to extract meaningful information from complex datasets. * Stay on top of the newest technologies approved for use across the firm. * Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.

Requirements

Undergraduate degree or higher in a relevant field.
Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data.
An interest in applying statistical concepts and large-scale data analysis to financial datasets.
Strong coding skills in a high-level programming language (e.g., Python, R, or similar).
Strong data visualization skills, with experience in creating informative visualizations.
Team player with an entrepreneurial spirit and good communication skills.
Deep intellectual curiosity and lifelong-learning mindset.
Commitment to the highest ethical standards.

Data & Analytics

Data Analysis

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