L/S Data Analyst - EMEA

Point72 Asset Management, L.P; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

An investment firm seeks a Data Analyst to drive innovation using data within its investing teams. The role includes analyzing diverse data sources to support investment decisions, developing data products, and maintaining infrastructure for high-volume data streams. Candidates should have strong quantitative skills, coding experience in Python or R, and a commitment to ethical standards. Benefits include private medical insurance and generous leave policies.

Benefits

Private Medical and Dental Insurances

Generous parental and family leave policies

Mental and physical wellness programmes

Tuition assistance

Non-contributory pension

Qualifications

• Demonstrated quantitative ability through coursework or equivalent.
• Experience with structured and unstructured data.
• Strong understanding of statistical concepts.
• Experience creating visualizations in coding languages.
• Ability to translate business questions into data-driven solutions.

Responsibilities

• Analyze Compliance-approved data to influence investment decisions.
• Design and maintain data products that enable KPI analysis.
• Explore innovative approaches to complex datasets.
• Develop automated systems for real-time data processing.
• Optimize data infrastructure for high-volume streams.

Skills

Quantitative ability

Experience with diverse data types

Statistical analysis

Coding skills in Python or R

Data visualization

Analytical and problem-solving skills

Team player

Communication skills

Education

Undergraduate degree or higher

Tools

Python

R

Git

Job description

A Career in Long/Short Equities at Point72

Long/Short Equity is Point72’s core strategy and its success is dependent upon our sector-based investing teams. Using fundamental research, our research analysts inform the investment strategies of our portfolio managers. Through our Point72 University, you have access to an unparalleled training and coaching curriculum to help foster your success. We offer you a clear path based on your abilities, willingness to work hard, and performance. Join us if you\'re looking for a career at the forefront of investing.

What you’ll do

As a data analyst 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. 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.
• Investigate and explore innovative approaches to extract meaningful information from complex datasets.
• 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.
• Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams.
• Develop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team\'s analytical capabilities and ensure reproducibility of results.
• 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.

What\’s required

Undergraduate degree or higher.

• Quantitative ability as demonstrated through relevant coursework or work equivalent.
• Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data.
• Strong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets.
• Strong coding skills in a high-level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.
• Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.
• Strong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data-driven solutions.
• Team player with an entrepreneurial spirit and good communication skills.
• Deep intellectual curiosity and lifelong-learning mindset.
• Commitment to the highest ethical standards.

We take care of our people

• We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
• Private Medical and Dental Insurances
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
• Mental and physical wellness programmes
• Tuition assistance
• Non-contributory pension and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/working-here. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.