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Deadline: 11:59 pm

Quantitative Research Intern (Masters or PhD candidates)

Internship
New York, NY, USA
Location: New York City | Prefer Masters or PhD Candidates

The internal alpha capture (IAC) team is focused on developing and implementing scalable long/short equity investment strategies that leverage insights from discretionary portfolio managers and analysts, using sophisticated risk management, portfolio construction and execution techniques.

Successful candidates will provide research and development assistance to team leads for various aspects of the portfolio management process. Specific responsibilities will include a subset of the following:

Analyze large data sets to identify features and relationships to develop predictive return signals

Research and develop alternative portfolio construction methods and tools that can enhance portfolio returns

Develop performance and attribution analytics that explain sources of risks and returns in managed portfolios

Evaluate alpha decay characteristics and their impact on optimal execution strategies

Contribute to the development of robust and efficient research and production platforms



Desirable Candidates

Masters or PhD candidates in finance, computer science, mathematics, operations research, physics, or other quantitative discipline

Strong analytical and quantitative skills. Detail-oriented

Proficient in Python, R, or C++

Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative team-oriented research environment

Demonstrated interest in financial markets and systematic strategies

Willing to take ownership of his/her work, working both independently and within a small team
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Deadline: 11:59 pm

  5 Submissions

Entry-Level Quantitative Researcher

Full-Time
New York, NY, USA
London, UK
Paris, France
Hong Kong
Location: New York City | London | Hong Kong | Paris

Cubist Systematic Strategies is one of the world’s premier investment firms. The Firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Job Description

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

Desirable Candidates

Undergrad, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline

Strong analytical and quantitative skills

Demonstrated ability to conduct independent research utilizing large data sets

Prior experience developing, researching, or implementing quantitative models for equities, futures, and/or FX, either at a firm or independently

Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl

Detail-oriented

Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
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Deadline: 11:59 pm

  1 Submission

Data Scientist

Full-Time
Visa Sponsorship - Yes
New York, NY
Hong Kong
Singapore
Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Job Description

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Job Responsibilities

Identification of new data sets

Engaging with vendors to understand characteristics of datasets

Building processes and technology tools to ingest, tag and clean datasets

Analysis of datasets to generate descriptive statistics and propose potential applications of data

Research of potential “alpha signals” for presentation to Portfolio Managers

Monitoring and enhancing the automated data collection and cleansing infrastructure

Research on new technologies for improved data management and efficient retrieval

Desirable Candidates

Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques

At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role

Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling

Experience applying statistical tests to large data sets

Programming skills in SQL, TSQL, SQL Server or PL-SQL

Programming skills in Python and at least one of C#, C++, or Java

Financial industry experience preferred but not required

Experience dealing with intraday, tick and order book data a plus

Strong problem solving skills

Intellectual curiosity and a love of learning

Attention to detail and a love of process

Strong oral and written communication skills
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Deadline: 11:59 pm

  1 Submission

Deep Learning/NLP Intern (Masters or PhD Candidates)

Internship
New York, NY, USA
Location: New York City | Prefer Masters or PhD Candidates

We are seeking a quantitative research intern for the Point72 Trading Research group. Specifically, we are looking for a researcher/developer with experience in deep learning models. Particularly in deep learning models for textual understanding/natural language processing (NLP).

The internship responsibilities would include:

Parsing text-based financial data, including external data (like company news) and internal data.

Building datasets for applied NLP problems, useful for trading and research in public markets.

Building model training and evaluation pipelines.

Exposing the outputs of trained models to users, including in real-time.

We believe that there have been significant advances in deep learning methods of text understanding over the past several years. We are working on taking advantage of these advances, for the applied finance domain.

An ideal candidate would be someone with significant technical skills, understanding, and prior experience in the deep learning space, a knowledge of NLP, and a curiosity about finance and trading.

Requirements

Master’s or PhD candidates in machine learning, computer science, or other related disciplines

Proficient in Python

Experience with deep learning-based NLP – PyTorch, HuggingFace Transformers, etc.

Contribution to an open-source codebase is a plus, preferably in machine learning

Prior experience (fulltime or internship) in software development is a plus

Interested in applying machine learning to finance

Willing to take ownership of his/her work, working both independently and within a small team
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Deadline: 10:59 pm

  23 Submissions

Data Engineering - Internship (Summer 2022)

Senior Recruiter
Internship
Our Data Engineers tackle the complex technical challenges associated with processing big and unstructured data sets. In this role, you will work with other platform engineers to: 

Identify and recommend innovative solutions to ingest and process new data sources using open source technologies, agile-based development processes, and cloud computing 

Improve critical infrastructure through evaluations and proof of concepts with cutting-edge of technology and frameworks 

Learn to recognize potential trading signals in compliance approved alternative data sources while working in collaboration with sector experts 

What’s required 

We want you to join us if you have experience or demonstrated interest in big data technologies. Requirements include: 

A commitment to the highest ethical standard 

A minimum cumulative GPA of 3.5/4.0 (or equivalent) 

Strong programming skills, preferably with Python or Java 

Solid understanding of computer science fundamentals (data structures, algorithms, etc.) 

Interest in working with data and big data problems and technologies, such as Hadoop and Spark 

Willingness to collaborate with others in a fast-paced environment 

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: 

Fully-paid health care benefits 

Generous parental and family leave policies 

Volunteer opportunities  

Support for employee-led affinity groups representing women, people of color and the LGBT+ community  

Mental and physical wellness programs 

Tuition assistance 

A 401(k) savings program with an employer match and more 

Location: New York, NY

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.

For more information, visit www.Point72.com/working-here

A Career with Point72’s Market Intelligence Team  

Point72’s Market Intelligence team is responsible for developing proprietary research products and providing data and research management services in partnership with Compliance to support our discretionary investment teams. We leverage innovative alternative data sources, advanced data analytics and technologies, and deep fundamental research to create high-quality compliant and differentiated research.  We are data scientists and engineers, product managers, and fundamental researchers working together—within our disciplines and cross-functionally—to determine the right questions to ask and seek insightful answers. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. 

Our Platform Engineering and Data Infrastructure teams manage the technology infrastructure used to ingest, process, and visualize the large and unstructured data sets behind our alternative data investment signals. Our engineering team is nimble and maintains a start-up culture – it is backed by the full support of Point72 management who recognizes that our work is essential to the success of the business.
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Deadline: 10:58 pm

  26 Submissions

Data Scientist, Analytics Internship (Summer 2022)

Senior Recruiter
Internship
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from Big Data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:

Tackle the challenges of featurizing and modeling large structured and unstructured data using machine learning and statistical techniques

Manage all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring

Deliver research findings to investment teams, portfolio managers, and other internal clients

Work within a team to help drive technical innovation through a collaborative R&D process

What’s required

We look for candidates with a passion for machine learning, statistical models, and data mining tools, and a proven academic track record.  Other requirements include:

Bachelor's or MS degree in a quantitative discipline

Strong programming skills in the following languages: Python (preferred), R, SQL, Spark

Ability to think creatively and see the big picture as well as finer details

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:

Fully-paid health care benefits

Generous parental and family leave policies

Volunteer opportunities

Support for employee-led affinity groups representing women, people of color and the LGBT+ community

Mental and physical wellness programs

Tuition assistance

A 401(k) savings program with an employer match and more

Location: New York, NY

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.

For more information, visit www.Point72.com/working-here

A Career with Point72’s Market Intelligence Team

Point72’s Market Intelligence team is responsible for developing proprietary research products and providing data and research management services in partnership with Compliance to support our discretionary investment teams. We leverage innovative alternative data sources, advanced data analytics and technologies, and deep fundamental research to create high-quality compliant and differentiated research.  We are data scientists and engineers, product managers, and fundamental researchers working together—within our disciplines and cross-functionally—to determine the right questions to ask and seek insightful answers. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.