Principal Quantitative Researcher
3 weeks ago
The client is building a solution for goal-based portfolio management that allows customers to set up custom and flexible constraints and expectations about their portfolio performance.
**Areas of responsibility**:
- prioritizing the optimal technology and algorithms set in a particular project
- research papers analysis
- hands-on implementation of the crucial solution pieces
- supporting and mentoring data science and engineering teams
**Skills**
- research and paper analysis
- explanation and presentation
- machine learning and engineering
- advanced English
- documentation development
**Knowledge**
- in-depth machine learning knowledge in the Finance industry (portfolio management, time series analysis, risk management, financial machine learning)
- state of the art business and technology trends
**Experience**
- MSc / PhD degree in the Mathematics / Computer Science / Statistics / Finance
- machine-learning solutions delivery in fintech, finance, and investment management domain ( more than 5 years)
- publications and public speeches track record
**Allocation**: 0.33-0.5 FTE
**We Offer**
- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with the rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Two options for our cooperation, and people have the opportunity to make their own choice of how they engage in work-related projects and tasks.
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Paid unlimited PTO
- Regular Team Buildings & company-wide team events
**Job Type**: Part-time
**Education**:
- Master's (required)
**Experience**:
- machine-learning solutions delivery in fintech domain: 5 years (required)
- machine-learning solutions delivery in finance domain: 5 years (required)
- ml solutions delivery in investment management domain: 5 years (required)
**Language**:
- Andvanced English (required)
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