Quantitative Developer
Point72 is hiring a Quantitative Developer in Hong Kong, Hong Kong SAR China. Level rates it ; you can apply on Point72.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, Docker and SQL.
- Level classifies it as a senior role.
- Level lists 210 other open roles at Point72.
AI in this role
Develop scalable quantitative equity trading signals and automated trading applications leveraging machine learning methods.
JOB RESPONSIBILITIES
A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.
You will gain exposure to a variety of activities, which may include:
- Developing automated equities trading applications and real-time analytics
- Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
- Work alongside quant researchers developing quant signals.
- Improving signal research and trading tools infrastructure
DESIRABLE CANDIDATES
- Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline
- 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm
- Strong programming experience in Python with production-level coding quality
- Experience with containerization and orchestration technologies, particularly Docker
- Experience with Unix environment and shell scripting
- Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus
- Knowledge of statistics and machine learning is a plus
- Willing to take ownership of his/her work, working both independently and within a small team
- Prior experience in the financial services industry is a plus
- Commitment to the highest ethical standards
How we rate this
Quantitative Developer at Point72 rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where quantitative finance was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where algorithms was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Quantitative Finance, Data Pipelines, Algorithms, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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