Point72 Jobs (2)

Recruiter

Point72 New York, NY
APPLY

What you ’ll do

Key responsibilities include partnering with leaders to define talent needs, building and maintaining high-caliber pools of candidates, and driving an effective candidate evaluation process.

Specifically, you will :

  • Manage the end-to-end experienced hire recruitment process for our proprietary research team, Market Intelligence, to meet hiring goals, including developing sourcing strategies, assessing candidates, crafting offers, handling the negotiation, and closing of candidates
  • Collaborate with HR Business Partners and leaders across the organization, developing a deep understanding of their strategic objectives and hiring needs
  • Develop effective candidate assessment frameworks, including facilitating interviews and leading calibration and hiring discussions
  • Leverage recruiting data to prepare ongoing recruiting updates for hiring managers
  • Conduct in-depth screening for prospective candidates
  • Collaborate and partner with Compliance and Information Security on applicable data privacy and securities laws

What’s required

  • Bachelor’s degree
  • 7+ years of technical recruiting experience
  • Ability to exercise sound, independent, judgement while driving best practices in candidate sourcing
  • Expertise conducting in-depth initial interviews and accurately assessing candidate quality and potential
  • Ability to multitask and prioritize assignments while maintaining strong attention to detail
  • Experience regularly communicating status and outcomes to counterparts and business leaders
  • Assertive and self-motivated
  • Strong organizational, communication and interpersonal skills
  • Proficient knowledge of Microsoft Outlook, Excel, and Word
  • 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 :

  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Mental and physical wellness programs
  • Volunteer opportunities
  • Non-profit matching gift program
  • Support for employee-led affinity groups representing women, minorities and the LGBT+ community
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

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. t .

The annual base salary range for this role is $150,000 - $250,000, which does not include discretionary bonus compensation or our comprehensive benefits package.

Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and / or skill level, among other things.

Full-time
APPLY

Data Scientist

Point72 New York, NY
APPLY

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.

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

The annual base salary range is $125,000-$250,000. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and / or skill level, among other things.

Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

Full-time
APPLY