Job summary
Job overview
This Senior Quantitative Developer role at Arrowstreet Capital involves building a next-generation Research data platform and contributing to high-impact projects that drive trading decisions.
Responsibilities and impact
The responsibilities include writing and maintaining Python libraries, designing software to enhance the data science technology stack, implementing financial data APIs, and mentoring junior team members.
Experience and skills
Candidates should have a degree in computer science, strong Python programming skills, experience with data storage and distributed computing, and excellent communication skills.
Work environment and culture
The company values professionalism, attitude, and initiative, maintaining a friendly and collaborative team-oriented environment.
Company information
Arrowstreet Capital is a data-driven investment firm focused on generating investment ideas and producing forecasts to drive trading decisions.
Company overview
Arrowstreet Capital, Limited Partnership is a Boston-based investment management firm specializing in global equity strategies. They leverage quantitative research and advanced technology to manage assets for institutional clients, including pension funds, endowments, and sovereign wealth funds. Founded in 1999, Arrowstreet has built a reputation for its data-driven approach and innovative investment solutions. The firm generates revenue through management fees based on assets under management and performance fees tied to investment returns.
How to land this job
Tailor your resume to highlight your Python programming expertise, experience with financial data APIs, and familiarity with cloud and distributed computing technologies, as these are essential for the Senior Quantitative Developer role at Arrowstreet Capital.
Emphasize your analytical skills and experience with data structures, numerical algorithms, and performance improvements in data analysis, which align with the responsibilities outlined in the job description.
Apply through multiple platforms including Arrowstreet Capital's corporate site and LinkedIn to maximize your visibility and application chances for this position.
Connect with professionals in the Research division at Arrowstreet Capital on LinkedIn to learn more about the role and the team's dynamics. Ice breakers could include discussing a recent technology trend in the PyData ecosystem or asking about their experiences with specific projects.
Optimize your resume for ATS systems by incorporating relevant keywords from the job description such as 'Python', 'distributed computing', 'APIs', and 'data analysis' to improve your chances of passing initial screenings.
Utilizing Jennie Johnson's Power Apply feature can streamline your job application process by tailoring your resume, identifying the best application channels, and suggesting LinkedIn connections, allowing you to focus on networking and preparing for interviews.
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