Quantitative Developer - CIO Office
At a glance
Mid-level Data Science role at Point72. New York · full-time · $175,000–$300,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Design and maintain research systems, making data access, risk analysis and backtests more automated and dependable
- Build ways for quant researchers to generate and share analytical results, recurring reports and monitoring views
- Coordinate with technology groups across the firm to put analytical tools in users’ hands
What you bring
- At least three years developing infrastructure for an investment group
- Strong Python and SQL capability, with solid grounding in math, statistics or finance
- You understand data intake and quantitative research methods, including machine-learning approaches
Who this fits
This role suits a self-directed developer who can partner with researchers and technology colleagues. You’ll need to juggle competing tasks and deadlines in a fast-paced, team-based setting.
From the employer
Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE
Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office.
The PCA team plays a vital role in the Equity L/S business at the firm, collaborating with investment teams to improve net revenue and risk adjusted returns. The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts.
The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative skills.
RESPONSIBILITIES
- Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components
- Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors
- Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm
DESIREABLE CANDIDATES
- Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline
- 3+ years of professional experience developing infrastructure to support an investment team
- Strong programming skills in Python and SQL
- Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
- Understanding of and experience with the data ingestion process
- Ability to contribute to the analytics, quant research, and development process
- Understanding of portfolio construction is a plus
- Knowledge of equities is a plus
- High-energy personality and the ability to manage multiple tasks and deadlines in a fast-paced environment
- High degree of drive – must be a self-starter
- Ability to recognize and seize opportunities
- Depth of skills enabling him/her to perform ad hoc projects and tasks with fast turnover
- Ability to communicate clearly and concisely
- Ability to work cooperatively with all levels of staff and to thrive in a team-oriented environment
- A commitment to the highest ethical standards and to act with professionalism and integrity
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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$170k+
Find me workBy the team behind dataroles.