Quantitative Engineer
Vise
| Company | Vise |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 May 2023 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise
Engineering at Vise has the unique opportunity to use technology to revolutionize the RIA wealth 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, high-impact 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 core 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 quantitative models, using advanced numerical techniques, convex optimization routines and industry leading practices.
Our team is deeply curious, with a strong desire to solve problems that have no 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 equally passionate about our work and mission. The problems we’re solving 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.
We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus.
What you will own
Help to maintain and expand the tax-aware portfolio optimizer using state of the art optimization techniques
Develop deep expertise in the trade market microstructure of various instruments like ETFs, Mutual Funds, ADRs, Money Market funds, Alternatives, etc.
Work closely with the core engineering team to build out infrastructure to support our workflow models
Help oversee daily portfolio optimization pipelines involving 1000s of client accounts
Build rigorous testing frameworks, pipelines to ensure quality and stability of the investment product
Build and test complex investment ideas
Apply quantitative techniques like machine learning to a vast array of data sets
Partner cross-functionally with other teams 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 is required (3+ years)
Interest in highly optimized numerical computations
Passion for profession in the quantitative finance track
Applied experience in building great production-level workflow infrastructure
Excellent comprehension of statistics
Prior professional experience within financial markets is a plus
Familiarity with commercial risk and optimization solutions is a strong plus
Excellent interpersonal and communication skills
Strong analytical skills
Collaborative with a team-first mentality
Why join Vise:
Opportunity to make a significant impact at a hyper-growth fintech start-up
Competitive salary and equity
Unlimited PTO and great benefits, including $1 medical insurance
401k plan with generous matching and self-directed brokerage account option
Access to investment management and free financial advice from one of our partner RIA firms
Paid lunches at our NYC office
Career growth and development opportunities
Through the internal and market data Vise has collected, we expect the salary range for this position to be $190,000 - $270,000 p er year, plus a competitive equity package. Your actual compensation will
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