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- Tasks: Manage real-time trading systems and collaborate on strategies.
- Company: Join a leading trading firm with top-tier professionals.
- Benefits: Competitive salary and total compensation package.
- Why this job: Work in a collaborative environment with cutting-edge technology.
- Qualifications: BS/MS/PhD in Computer Science; 5+ years experience required.
- Other info: Opportunities available in New York, London, and Singapore.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Developer
Competitive base salary and total compensation
A leading trading firm is looking for a skilled Quantitative Developer to work with top-tier Quantitative Researchers, Engineers, and Portfolio Managers in a collaborative environment.
Responsibilities:
- Manage real-time trading systems for various strategies
- Collaborate to enhance existing strategies and implement new ones
- Identify and resolve platform bottlenecks
- Expand platform capabilities to new asset classes
Requirements:
- BS/MS/PhD in Computer Science or related field
- 5+ years of experience in a similar role
- Proficient in Python, bonus points for C++
- Strong problem-solving and communication skills
- Experience with Python data science stack (Pandas, Numpy, Scikit-learn)
- Excellent coding, debugging, and analytical abilities
Location:
- New York, London, Singapore
Interested? Please contact for more information.
Quantitative Developer employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Make sure to showcase your experience with real-time trading systems. Highlight any specific projects or roles where you managed or improved such systems, as this is a key responsibility for the Quantitative Developer position.
✨Tip Number 2
Since collaboration is crucial in this role, be prepared to discuss examples of how you've worked effectively with teams of researchers and engineers. This will demonstrate your ability to thrive in a collaborative environment.
✨Tip Number 3
Familiarize yourself with the latest trends in quantitative finance and trading strategies. Being able to discuss current developments and how they could apply to the firm's strategies will set you apart from other candidates.
✨Tip Number 4
Brush up on your Python and C++ skills, especially focusing on the data science stack. Consider working on personal projects or contributing to open-source projects that utilize these technologies to demonstrate your proficiency.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in quantitative development, particularly your proficiency in Python and any experience with C++. Include specific projects or achievements that demonstrate your problem-solving skills and analytical abilities.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative finance and your ability to collaborate with researchers and portfolio managers. Mention how your background aligns with the responsibilities listed in the job description.
Highlight Relevant Experience: In your application, emphasize your 5+ years of experience in similar roles. Provide examples of how you've managed real-time trading systems and contributed to enhancing trading strategies.
Showcase Technical Skills: Clearly outline your technical skills, especially your expertise in the Python data science stack (Pandas, Numpy, Scikit-learn). If you have experience with C++, make sure to mention it as a bonus point.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any experience you have with C++. Highlight specific projects where you've utilized the Python data science stack, such as Pandas or Numpy, to solve complex problems.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process clearly and logically when tackling these problems, as strong problem-solving skills are crucial for a Quantitative Developer.
✨Collaborative Mindset
Since the role involves working closely with Quantitative Researchers and Portfolio Managers, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to enhance strategies or resolve issues.
✨Prepare for Behavioral Questions
In addition to technical questions, prepare for behavioral ones that assess your communication skills and teamwork. Think of situations where you had to explain complex concepts to non-technical stakeholders or how you handled conflicts in a team setting.
