Engineering at Vise has the unique opportunity to use technology to revolutionize the investment management industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small and fast-paced team where everyone has a voice in the development of our product and technology.
Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and engineering teams, as well as our Chief Investment Officer to build sophisticated investment models which shape our portfolio construction and portfolio insights. You will be responsible for writing production ready models, working with our team to apply quantitative techniques like machine learning and sentiment analysis to a vast array of data sets.
Our Quantitative Engineering team is deeply curious, with a strong desire to solve problems that do not have a defined answer. You should feel comfortable reimagining investment management and questioning every market assumption. The ideal candidate thrives in a creative, inventive, and fast-paced startup environment and wants to work with people who are passionate about our work and mission. The problems we’re trying to solve as an organization are dynamic and each day brings fresh and exciting challenges. We're interested in people who will react quickly and efficiently when called upon to change or pivot.
What you will own
- Own a set of financial models and work to scale research code to production code
- Work very closely with Engineering team to build out infrastructure to support our workflow models
- Research and explore seemingly impossible problems; we'll want have a practiced or natural understanding of how varying inputs are likely to change the results
- Build and test complex investment ideas
- Apply quantitative techniques like machine learning and sentiment analysis to a vast array of data sets
- Partner cross-functionally on a daily basis and make decisions together quickly
What you bring on day one
- Bachelor's degree / Master’s Degree / Ph. D in STEM majors
- Experience programming in Python required
- Passion for profession in the quantitative finance track
- Applied experience in building great production-level workflow infrastructure
- Excellent comprehension of statistics and probability distributions
- Understanding of statistical and machine learning models
- Prior professional experience within financial markets, cash equities a plus
- Excellent interpersonal and communication skills
- Strong analytical skills
- Collaborative with a team-first mentality
- Familiarity with commercial risk and optimization solutions is a strong plus
Through the internal and market data Vise has collected, we expect the salary range for this position to be $175,000 - $225,000 per year, plus a competitive equity package. Your actual compensation will be determined based on your skills, qualifications, and experience. In addition, Vise offers a wide range of comprehensive and inclusive employee benefits.