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Lead Quantitative Analyst, Buy-Side, PhD Preferred
2 months ago
We are in search of a Senior Quantitative Researcher with a focus on the Buy-Side sector, ideally holding a PhD, to join our team at Parallel Partners. This role is based in Chicago and offers a unique opportunity to engage with complex financial markets and innovative trading strategies.
Key Responsibilities:
- Collaborate effectively with technology and business units to gain insights into intricate financial markets, products, and strategies.
- Conduct thorough analysis of financial market data to uncover trends and potential investment opportunities.
- Create forecasts and develop predictive trading models that are both profitable and reliable.
- Utilize industry-leading software and research tools to enhance research capabilities.
- Work alongside experts in technology and quantitative finance to drive innovation.
- Mentor and guide junior team members, fostering a collaborative learning environment.
- Tackle challenging problems within a dynamic team setting.
- Take initiative and lead projects from inception to completion.
Qualifications:
- 5-15 years of relevant experience, with a preference for candidates with Futures Asset Class and High-Frequency Trading experience. Direct experience with a Buy-Side firm is essential.
- Familiarity with programming concepts, particularly in C++, is preferred but not mandatory.
- Proven track record in building predictive models and conducting market analysis.
- Ambition to grow into a leadership role is highly desirable.
- Strong problem-solving skills, self-motivated, and innovative thinking are essential attributes.
- Excellent communication skills, both written and verbal.
- A Bachelor's, Master's, or PhD in a relevant field such as Mathematics, Statistics, Physics, or Computer Science is required.
- Candidates from top-tier universities with a strong academic record are preferred.
Keywords:
Senior Quantitative Researcher, Buy-Side, C++, Java, Python, R, Quantitative Analysis, Machine Learning, Financial Trading, Software Engineering, Programming.
