Develop and maintain components for live trading and simulation of equities derivatives portfolios, with a focus on automation and robustness of research infrastructure (alpha estimation, risk modeling, backtesting). Improve platform stability, identify and remediate deficiencies, and implement data checking and storage procedures. Troubleshoot system issues and manage code fixes and releases while collaborating within a small team.
Building components for both live trading and simulation of equities derivatives portfolios
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Maintaining and updating the platform, ensuring its stability, robustness, and security
Identifying deficiencies in the trading platform and deploying solutions
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements
Requirements:
Bachelor’s degree or higher in computer science or other STEM discipline
Strong communication skills
Strong programming skills in Python
Strong motivation and excitement for the role
Experience with volatility and equity derivates a plus
Experience with database design and large datasets
Willing to take ownership of his/her work, working both independently and within a small team
Commitment to the highest ethical standards
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.
The annual base salary range for this role is $200,000-$250,000 (USD) , 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.
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Role/Responsibilities:
\n
Building components for both live trading and simulation of equities derivatives portfolios
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Maintaining and updating the platform, ensuring its stability, robustness, and security
Identifying deficiencies in the trading platform and deploying solutions
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements
Requirements:
\n
Bachelor’s degree or higher in computer science or other STEM discipline
Strong communication skills
Strong programming skills in Python
Strong motivation and excitement for the role
Experience with volatility and equity derivates a plus
Experience with database design and large datasets
Willing to take ownership of his/her work, working both independently and within a small team
Commitment to the highest ethical standards
About Point72:
\n
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.
The annual base salary range for this role is $200,000-$250,000 (USD) , 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.
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Develop and maintain components for live trading and simulation of equities derivatives portfolios, with a focus on automation and robustness of research infrastructure (alpha estimation, risk modeling, backtesting). Improve platform stability, identify and remediate deficiencies, and implement data checking and storage procedures. Troubleshoot system issues and manage code fixes and releases while collaborating within a small team.
Building components for both live trading and simulation of equities derivatives portfolios
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Maintaining and updating the platform, ensuring its stability, robustness, and security
Identifying deficiencies in the trading platform and deploying solutions
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements
Requirements:
Bachelor’s degree or higher in computer science or other STEM discipline
Strong communication skills
Strong programming skills in Python
Strong motivation and excitement for the role
Experience with volatility and equity derivates a plus
Experience with database design and large datasets
Willing to take ownership of his/her work, working both independently and within a small team
Commitment to the highest ethical standards
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.
The annual base salary range for this role is $200,000-$250,000 (USD) , 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.
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Role/Responsibilities:
\n
Building components for both live trading and simulation of equities derivatives portfolios
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Maintaining and updating the platform, ensuring its stability, robustness, and security
Identifying deficiencies in the trading platform and deploying solutions
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems-related issues and handling the release of code fixes and enhancements
Requirements:
\n
Bachelor’s degree or higher in computer science or other STEM discipline
Strong communication skills
Strong programming skills in Python
Strong motivation and excitement for the role
Experience with volatility and equity derivates a plus
Experience with database design and large datasets
Willing to take ownership of his/her work, working both independently and within a small team
Commitment to the highest ethical standards
About Point72:
\n
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.
The annual base salary range for this role is $200,000-$250,000 (USD) , 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.
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