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Point72 Data Scientist Reviews

Updated Aug 6, 2019

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2.8
44%
Recommend to a Friend
0%
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Point72 Chairman, Chief Executive Officer, and President Steven A. Cohen (no image)
Steven A. Cohen
1 Rating
  1. Helpful (1)

    "Fantastic Opportunity for Growth (Cubist)"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Compensation and Benefits
    • Senior Management
    Current Employee - Data Scientist in New York, NY
    Recommends
    Positive Outlook

    I have been working at Point72 full-time for more than 3 years

    Pros

    Regarding the job itself: Exposure to hundreds of interesting and unique data sets. Opportunity to work with state of the art hardware and technology. Projects and day-to-day work are challenging, but rewarding. Huge opportunity to learn here. Regarding the work environment: Flat structure - opportunity to work directly with senior industry professionals (including PMs). Management is quite open to new ideas and is generally willing to give people opportunity to work on projects of their choice. Very nice work environment. Majority of employees (including management) are approachable and friendly. Compensation is competitive and bonus is performance based. Lots of perks - excellent insurance, large number of vacation days, lots of team dinners/lunches and firm events. Multi-cultural team - work with people from all around the globe.

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    Cons

    Long hours and occasional weekend work required Support rotation once every week or so which can be stressful

    Point722019-08-07
  2. Helpful (16)

    "Good for Narcissists and Sycophants (Market Intelligence)"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Compensation and Benefits
    • Senior Management
    Former Employee - Data Scientist in New York, NY
    Doesn't Recommend
    Negative Outlook
    Disapproves of CEO

    I worked at Point72 full-time for more than a year

    Pros

    -High Salaries -Plentiful Resources (Expensive datasets, generous personal device budgets, work lunches, etc.)

    Cons

    -Tech debt: the majority of analytical processes exists as stored procedures in SQL -Management is obsessed with Deep Learning without experience in any of the basics -Behind the curve in terms of using alternative data (herd following) -Bro culture -Resume inflation -Substandard technical screens for new hires -Emphasis on hearsay over experience

    Advice to Management

    Hire smart, honest, transparent and humble people. Most importantly, install people with the proper experience and ability to cut through BS at the top.

    Point722018-11-09
  3. Helpful (8)

    "Cubist Systematic Strategies"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Compensation and Benefits
    • Senior Management
    Current Employee - Data Scientist 
    Doesn't Recommend
    Neutral Outlook
    No opinion of CEO

    I have been working at Point72 full-time for more than a year

    Pros

    Excellent benefits - insurance coverage + perks

    Cons

    Management team is arrogant. They are always right. When they made mistake, they will just keep quiet and pretend like it didn't happen. They like to set unrealistic goals. If an employee somehow managed to hit any of them, they will raise the bar immediately and ignore his/her achievement. . Performance appraisal is a joke. There is no shared visions from top to bottom. Everyone is walking in different direction. People at the lowest hierarchy have to work on competing requests from all direction. HR is not playing the right role to build a proper assessment process. Managers don't have a systematic way to evaluate their subordinates. . Team player will get hurt the most. Many people in the team will magnify your mistakes and embarrass you in front of management/team members/users. . No career path at all. You will be working on everything everyday, sometimes including weekend and public holidays. No job specialisation. You can only be a half-cooked data analyst/scientist who may not have an opportunity to work on any research project.

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    Point722019-07-30
Found 3 reviews