Quantitative Engineer

Vise; New York (NY); Hybrid; USD 190,000 - 270,000; Full time

Benefits offered by this job

Unlimited PTO

Medical insurance

401k plan with generous matching

Paid lunches at NYC office

Access to free financial advice

Job summary

Vise is seeking a passionate Quantitative Engineer to join our New York City engineering team. In this role, you will partner closely with investment strategies and engineering teams to build sophisticated investment models and gain ownership of producing high-quality workflows.

The ideal candidate has a STEM degree, strong Python programming skills, and a deep interest in numerical optimization. This position offers a competitive salary range of $190,000 to $270,000 per year along with generous benefits including unlimited PTO and 401k matching.

Qualifications

• 3+ years of experience programming in Python.
• Interest in highly optimized numerical computations.
• Applied experience in building production-level workflow infrastructure.
• Familiarity with commercial risk and optimization solutions is a strong plus.

Responsibilities

• Help maintain and expand the tax-aware portfolio optimizer.
• Develop expertise in trade market microstructure.
• Work with core engineering team to support workflow models.
• Oversee daily portfolio optimization pipelines.
• Build rigorous testing frameworks for investment products.

Skills

Programming in Python

Statistics

Numerical Optimization

Interpersonal Skills

Analytical Skills

Education

Bachelor’s degree / Master’s Degree / Ph.D in STEM majors

Tools

Machine Learning

Convex Optimization Techniques

Job 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‑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
• 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 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.

We are not hiring remote at this time. Vise is HQ in NYC, our offices are located at 521 Broadway and we have a hybrid office policy. Visers are expected to be present in the office on Mondays, Wednesdays, and Thursdays every week.

Vise celebrates and embraces diversity and is committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non‑disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.