Large

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.

Finance

Point72

Asset Management

You should be a Master's or PhD candidate in a quantitative field, skilled in Python, data analysis, and independent research, with a detail-oriented mindset and a commitment to high ethical standards.

You will assist with data collection and analysis, adapt statistical techniques, develop new signals, provide research support, and enhance the team's research infrastructure.

Data

Research & Development

London

Role: We are looking for an exceptional student to join one of our PM teams as a quantitative research intern for a duration of six months, ideally starting in January 2025. The intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have a real impact. Responsibilities: You will gain exposure to a variety of activities, which may include: * Assisting with data collection, preliminary analysis of large data sets, and extraction of useful features for predictive models. * Adapting and extending existing statistical forecasting techniques and machine learning algorithms to different asset classes applied to macro strategies. * Developing new signals and evaluate their performance characteristics. * Providing research assistance to the team. * Helping to improve the team's research infrastructure. Desirable Candidates: * Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering or other quantitative discipline. * Demonstrated ability to conduct independent research over large, possibly noisy datasets. * Strong analytical and quantitative skills, and detail-oriented mindset. * Proficient in Python and quantitative analysis, ideally with a machine learning background. * Experience dealing with database languages like SQL, Postgres is a plus. * Ability to work both independently and collaboratively within a team. * Strong desire to deliver high quality results in a timely fashion. * Prior experience in the financial services industry is not required. * Commitment to the highest ethical standards.

Role:We are looking for an exceptional student to join one of our PM teams as a quantitative research intern for a duration of six months, ideally starting in January 2025. The intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have a real impact.Responsibilities:You will gain exposure to a variety of activities, which may include: * Assisting with data collection, preliminary analysis of large data sets, and extraction of useful features for predictive models. * Adapting and extending existing statistical forecasting techniques and machine learning algorithms to different asset classes applied to macro strategies. * Developing new signals and evaluate their performance characteristics. * Providing research assistance to the team. * Helping to improve the team's research infrastructure.      Desirable Candidates: * Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering or other quantitative discipline. * Demonstrated ability to conduct independent research over large, possibly noisy datasets. * Strong analytical and quantitative skills, and detail-oriented mindset. * Proficient in Python and quantitative analysis, ideally with a machine learning background. * Experience dealing with database languages like SQL, Postgres is a plus. * Ability to work both independently and collaboratively within a team. * Strong desire to deliver high quality results in a timely fashion. * Prior experience in the financial services industry is not required. * Commitment to the highest ethical standards.

Off-Cycle Quantitative Researcher Intern - Point72

Role:&lt;br&gt;&lt;br&gt;We are looking for an exceptional student to join one of our PM teams as a quantitative research intern for a duration of six months, ideally starting in January 2025. The intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have a real impact.&lt;br&gt;&lt;br&gt;Responsibilities:&lt;br&gt;&lt;br&gt;You will gain exposure to a variety of activities, which may include:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Assisting with data collection, preliminary analysis of large data sets, and extraction of useful features for predictive models.&lt;/li&gt;&lt;li&gt;Adapting and extending existing statistical forecasting techniques and machine learning algorithms to different asset classes applied to macro strategies.&lt;/li&gt;&lt;li&gt;Developing new signals and evaluate their performance characteristics.&lt;/li&gt;&lt;li&gt;Providing research assistance to the team.&lt;/li&gt;&lt;li&gt;Helping to improve the team's research infrastructure.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Desirable Candidates:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Masters or PhD candidates in finance, economics, mathematics, statistics, physics, computer science, engineering or other quantitative discipline.&lt;/li&gt;&lt;li&gt;Demonstrated ability to conduct independent research over large, possibly noisy datasets.&lt;/li&gt;&lt;li&gt;Strong analytical and quantitative skills, and detail-oriented mindset.&lt;/li&gt;&lt;li&gt;Proficient in Python and quantitative analysis, ideally with a machine learning background.&lt;/li&gt;&lt;li&gt;Experience dealing with database languages like SQL, Postgres is a plus.&lt;/li&gt;&lt;li&gt;Ability to work both independently and collaboratively within a team.&lt;/li&gt;&lt;li&gt;Strong desire to deliver high quality results in a timely fashion.&lt;/li&gt;&lt;li&gt;Prior experience in the financial services industry is not required.&lt;/li&gt;&lt;li&gt;Commitment to the highest ethical standards.&lt;/li&gt;&lt;/ul&gt;

Off-Cycle Quantitative Researcher Intern

You need a background in math, stats, or related fields, 2-5 years in macro quant trading, strong Python skills, data manipulation, and a collaborative mindset with independent research abilities.

You will develop and backtest trading models in FICC markets, process data, perform feature engineering, and enhance trading environments while monitoring execution.

About Cubist Cubist Systematic Strategies, an affiliate of Point72, 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. Role Quantitative researcher to help build out a systematic macro (futures, FX, and vol) business. Core focus will be working on short-term to mid-frequency alpha strategies. Responsibilities * Develop systematic trading models across fixed income, currency and commodity (FICC) markets * Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation * Perform feature engineering with price-volume, order book, and alternative data for intraday to daily horizons in mid frequency trading space * Perform feature combination and monetization using various modeling techniques * Assist in building, maintenance, and continual improvement of production and trading environments coupled with execution monitoring. * Contribute to the research infrastructure of the team. Requirements * Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics * 2-5 years of experience in macro quantitative trading, preferably FICC * Experience synthesizing predictive signals for both cross-sectional and time-series models driven by statistical/technical, fundamental, and data driven signals * Ability to efficiently format and manipulate large, raw data sources * Strong experience with data exploration, dimension reduction, and feature engineering * Demonstrated proficiency in Python. Familiarly with data science toolkits, such as scikit-learn, Pandas. Experience with machine learning is a plus * Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques * Collaborative mindset with strong independent research abilities * Commitment to the highest ethical standards

About CubistCubist Systematic Strategies, an affiliate of Point72, 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.RoleQuantitative researcher to help build out a systematic macro (futures, FX, and vol) business. Core focus will be working on short-term to mid-frequency alpha strategies.Responsibilities * Develop systematic trading models across fixed income, currency and commodity (FICC) markets * Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation * Perform feature engineering with price-volume, order book, and alternative data for intraday to daily horizons in mid frequency trading space * Perform feature combination and monetization using various modeling techniques * Assist in building, maintenance, and continual improvement of production and trading environments coupled with execution monitoring. * Contribute to the research infrastructure of the team.      Requirements * Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics * 2-5 years of experience in macro quantitative trading, preferably FICC * Experience synthesizing predictive signals for both cross-sectional and time-series models driven by statistical/technical, fundamental, and data driven signals * Ability to efficiently format and manipulate large, raw data sources * Strong experience with data exploration, dimension reduction, and feature engineering * Demonstrated proficiency in Python. Familiarly with data science toolkits, such as scikit-learn, Pandas. Experience with machine learning is a plus * Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques * Collaborative mindset with strong independent research abilities * Commitment to the highest ethical standards

Quantitative Researcher - Point72

&lt;strong&gt;About Cubist&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Cubist Systematic Strategies, an affiliate of Point72, 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.&lt;br&gt;&lt;br&gt;Role&lt;br&gt;&lt;br&gt;Quantitative researcher to help build out a systematic macro (futures, FX, and vol) business. Core focus will be working on short-term to mid-frequency alpha strategies.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Develop systematic trading models across fixed income, currency and commodity (FICC) markets&lt;/li&gt;&lt;li&gt;Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation&lt;/li&gt;&lt;li&gt;Perform feature engineering with price-volume, order book, and alternative data for intraday to daily horizons in mid frequency trading space&lt;/li&gt;&lt;li&gt;Perform feature combination and monetization using various modeling techniques&lt;/li&gt;&lt;li&gt;Assist in building, maintenance, and continual improvement of production and trading environments coupled with execution monitoring.&lt;/li&gt;&lt;li&gt;Contribute to the research infrastructure of the team.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics&lt;/li&gt;&lt;li&gt;2-5 years of experience in macro quantitative trading, preferably FICC&lt;/li&gt;&lt;li&gt;Experience synthesizing predictive signals for both cross-sectional and time-series models driven by statistical/technical, fundamental, and data driven signals&lt;/li&gt;&lt;li&gt;Ability to efficiently format and manipulate large, raw data sources&lt;/li&gt;&lt;li&gt;Strong experience with data exploration, dimension reduction, and feature engineering&lt;/li&gt;&lt;li&gt;Demonstrated proficiency in Python. Familiarly with data science toolkits, such as scikit-learn, Pandas. Experience with machine learning is a plus&lt;/li&gt;&lt;li&gt;Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques&lt;/li&gt;&lt;li&gt;Collaborative mindset with strong independent research abilities&lt;/li&gt;&lt;li&gt;Commitment to the highest ethical standards&lt;/li&gt;&lt;/ul&gt;

Quantitative Researcher

You must be a PhD student to attend this exclusive London Meet and Greet event in 2025.

You will rotate through teams, gaining expertise in systematic trading, honing research skills, and engaging in the full trade life cycle from analysis to execution.

Banking & Finance

Cubist Quant Academy London Meet and Greet Cubist Systematic Strategies is hosting a meet and greet on the rooftop of our London office! Apply to meet our PMs and researchers, learn more about our Quant Academy program, pick up the latest swag, and enjoy some refreshments. * Where: Cubist London Office * When: September 26th, 5:00pm-6:30pm *This event is for PhD students only* About Quant Academy The Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research. About Cubist Cubist Systematic Strategies, an affiliate of Point72, 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. This is a hackathon event so please disregard the salary range below.

Cubist Quant Academy London Meet and GreetCubist Systematic Strategies is hosting a meet and greet on the rooftop of our London office! Apply to meet our PMs and researchers, learn more about our Quant Academy program, pick up the latest swag, and enjoy some refreshments. * Where: Cubist London Office * When: September 26th, 5:00pm-6:30pm      *This event is for PhD students only*About Quant AcademyThe Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.About CubistCubist Systematic Strategies, an affiliate of Point72, 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.This is a hackathon event so please disregard the salary range below.

London Meet and Greet - 2025 Cubist Quant Academy - Point72

Cubist Quant Academy London Meet and Greet&lt;br&gt;&lt;br&gt;Cubist Systematic Strategies is hosting a meet and greet on the rooftop of our London office! Apply to meet our PMs and researchers, learn more about our Quant Academy program, pick up the latest swag, and enjoy some refreshments.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Where: Cubist London Office&lt;/li&gt;&lt;li&gt;When: September 26th, 5:00pm-6:30pm&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;*This event is for PhD students only*&lt;br&gt;&lt;br&gt;&lt;strong&gt;About Quant Academy&lt;br&gt;&lt;br&gt;&lt;/strong&gt;The Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.&lt;br&gt;&lt;br&gt;&lt;strong&gt;About Cubist&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Cubist Systematic Strategies, an affiliate of Point72, 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.&lt;br&gt;&lt;br&gt;This is a hackathon event so please disregard the salary range below.

London Meet and Greet - 2025 Cubist Quant Academy

You must be a Bachelor's candidate (Fall 2025/Spring 2026) with strong analytical and communication skills, attention to detail, professionalism, and the ability to manage multiple tasks effectively.

You will collaborate on financial reporting, analyze trends, manage vendor relationships, develop skills through training, and engage in networking and mentoring opportunities across various teams.

Accounting & Tax

Stamford

A Career with Point72’s Corporate Finance Team The Corporate Finance team provides a broad range of timely, accurate, relevant, and objective financial information, advice, and services to its business partners, while adhering to the highest professional and ethical standards. We offer a dynamic environment where individuals can learn at a fast pace and are rewarded with challenging opportunities both within Corporate Finance and across the firm. Corporate Finance includes all infrastructural financial functions such as Corporate Accounting, Global Payments, Procurement, Financial Planning & Analysis, and Financial Reporting. About The Corporate Finance Internship The Corporate Finance internship at Point72 provides individuals interested in pursuing a career in Finance at an investment firm with a valuable, hands-on experience. During the 10-week program based in our Stamford office, you will gain exposure to: * Knowledge of the fast paced and competitive hedge fund world in which Point72 operates. * Deep understanding of the infrastructure and operations of a hedge fund, and the role of the Corporate Finance team’s ability to report and analyze trends, account for complex transactions, and manage our network of external vendor relationships, efficiently and effectively. * Collaboration with other colleagues and senior-level professionals on day-to-day needs such as the month-end close process, investor risk reports, and consolidating monthly financial packages. * Intensive mentoring by finance professionals dedicated to investing in your success. * Training sessions focused on developing Excel, writing, and presentation skills. Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: * Work alongside your fellow interns and be mentored by experienced professionals * Meet your peers through designated intern programming, volunteer opportunities, and social events * Attend sessions with senior leaders discussing their expertise and career paths * Get hands on access to the wealth of tools and resources that Point72 employees use every day * Gain exposure to groups and functions with unique responsibilities and perspectives on our industry * Develop technical, writing, and presentation skills * Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology What’s Required * Expected Bachelor’s degree (Fall 2025 or Spring 2026) * Ability to manage multiple tasks and deadlines in a fast-paced environment * Strong attention to detail * Strong analytical, writing, verbal communication, and technical skills * Demonstrated ability to work cooperatively with all levels of the team * Conduct yourself with professionalism and integrity at all times * Commitment to the highest ethical standards About Point72 Point72 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 Corporate Finance TeamThe Corporate Finance team provides a broad range of timely, accurate, relevant, and objective financial information, advice, and services to its business partners, while adhering to the highest professional and ethical standards. We offer a dynamic environment where individuals can learn at a fast pace and are rewarded with challenging opportunities both within Corporate Finance and across the firm. Corporate Finance includes all infrastructural financial functions such as Corporate Accounting, Global Payments, Procurement, Financial Planning & Analysis, and Financial Reporting.About The Corporate Finance InternshipThe Corporate Finance internship at Point72 provides individuals interested in pursuing a career in Finance at an investment firm with a valuable, hands-on experience. During the 10-week program based in our Stamford office, you will gain exposure to: * Knowledge of the fast paced and competitive hedge fund world in which Point72 operates. * Deep understanding of the infrastructure and operations of a hedge fund, and the role of the Corporate Finance team’s ability to report and analyze trends, account for complex transactions, and manage our network of external vendor relationships, efficiently and effectively. * Collaboration with other colleagues and senior-level professionals on day-to-day needs such as the month-end close process, investor risk reports, and consolidating monthly financial packages. * Intensive mentoring by finance professionals dedicated to investing in your success. * Training sessions focused on developing Excel, writing, and presentation skills.      Summer Internship Program at Point72In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: * Work alongside your fellow interns and be mentored by experienced professionals * Meet your peers through designated intern programming, volunteer opportunities, and social events * Attend sessions with senior leaders discussing their expertise and career paths * Get hands on access to the wealth of tools and resources that Point72 employees use every day * Gain exposure to groups and functions with unique responsibilities and perspectives on our industry * Develop technical, writing, and presentation skills * Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology      What’s Required * Expected Bachelor’s degree (Fall 2025 or Spring 2026) * Ability to manage multiple tasks and deadlines in a fast-paced environment * Strong attention to detail * Strong analytical, writing, verbal communication, and technical skills * Demonstrated ability to work cooperatively with all levels of the team * Conduct yourself with professionalism and integrity at all times * Commitment to the highest ethical standards      About Point72Point72 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.

2025 Summer Internship - Corporate Finance - Point72

2025 Summer Internship - Corporate Finance

You need a B.S., M.S., or PhD in a quantitative field, programming skills in Python/SQL, strong analytical abilities, detail orientation, and a commitment to ethical standards. No finance experience needed.

You will conduct quantitative research, analyze academic findings, manage research processes, test hypotheses, discover alpha signals, develop trading strategies, and build analytical tools.

About Cubist Cubist Systematic Strategies, an affiliate of Point72, 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. Role Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. Responsibilities * Conduct original quantitative alpha signal research * Follow, digest and analyze the latest academic research * Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis * Build analytical tools to supplement our shared research framework Requirements * B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and quantitative skills. * Willingness to take ownership of his/her work. * Ability to work both independently and collaboratively within a team. * Strong desire to deliver high quality results in a timely fashion. * Detail-oriented. * Prior experience in the financial services industry is not required. * A commitment to the highest ethical standards.

About CubistCubist Systematic Strategies, an affiliate of Point72, 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.RoleEntry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.Responsibilities * Conduct original quantitative alpha signal research * Follow, digest and analyze the latest academic research * Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis * Build analytical tools to supplement our shared research framework      Requirements * B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and quantitative skills. * Willingness to take ownership of his/her work. * Ability to work both independently and collaboratively within a team. * Strong desire to deliver high quality results in a timely fashion. * Detail-oriented. * Prior experience in the financial services industry is not required. * A commitment to the highest ethical standards.

Entry-Level Quantitative Researcher - Point72

&lt;strong&gt;About Cubist&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Cubist Systematic Strategies, an affiliate of Point72, 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.&lt;br&gt;&lt;br&gt;Role&lt;br&gt;&lt;br&gt;Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Conduct original quantitative alpha signal research&lt;/li&gt;&lt;li&gt;Follow, digest and analyze the latest academic research&lt;/li&gt;&lt;li&gt;Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis&lt;/li&gt;&lt;li&gt;Build analytical tools to supplement our shared research framework &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.&lt;/li&gt;&lt;li&gt;Programming in Python (or comparable language) and working knowledge of SQL&lt;/li&gt;&lt;li&gt;Strong analytical and quantitative skills.&lt;/li&gt;&lt;li&gt;Willingness to take ownership of his/her work.&lt;/li&gt;&lt;li&gt;Ability to work both independently and collaboratively within a team.&lt;/li&gt;&lt;li&gt;Strong desire to deliver high quality results in a timely fashion.&lt;/li&gt;&lt;li&gt;Detail-oriented.&lt;/li&gt;&lt;li&gt;Prior experience in the financial services industry is not required. &lt;/li&gt;&lt;li&gt;A commitment to the highest ethical standards.&lt;/li&gt;&lt;/ul&gt;

Point72

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