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AI powered Investment Management and Intelligence for Financial Advisors

Quantitative Engineer

$110k – $160k • 0.1% – 0.1%
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Vise is an artificial intelligence-driven asset management platform, built and designed specifically for the Financial Advisor of the future. We are transforming the financial industry by bringing the power of AI and machine learning to automate investment management for financial advisors and build fully customized portfolios backed by portfolio intelligence. Located in New York, we are a well-funded Series A stage startup, backed by Sequoia, Founders Fund and Bling Capital. We are working in one of the largest industries in the world, with customers who are hungry for modern tools and technology that will help them win. Come join us!

We’re looking for a top Quantitative Engineer to join our talented team. You'll help us build a new future for wealth management. You will partner closely with our engineering team and work with our Chief Investment Officer to build sophisticated investment models to shape our portfolio construction and portfolio insights.

You will be responsible for writing production ready models (in Python) and work with our team to apply quantitative techniques like machine learning and sentiment analysis to a vast array of data sets. You should also expect to stay up to date on the latest research papers and techniques in your field. You should feel comfortable reimagining investment management and questioning every market assumption.

You should thrive in a creative, inventive, and fast-paced startup environment and want to work with people who are passionate about our work and mission. The problem we’re trying to solve as an organization is 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
  • 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
  • Building and testing 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 will bring on Day 1

  • Bachelor's degree / Master’s Degree / Ph. D - finance or mathematics is a plus
  • Minimum of 5 years of experience as an engineer in a quantitative role
  • Applied experience in writing great production-level code using Python
  • Excellent comprehension of statistics and probability distributions
  • Understanding of statistical and machine learning models
  • Working experience within financial markets
  • Excellent analytical, interpersonal, communication, and collaboration skills

These would be great to have, but we’re sure you can learn this on the job here

  • Strong coaching and mentorship skills
  • Curiosity and desire to solve problems that haven't don't have defined answers

Our stack: Python, Postgres, Express, TypeScript, Node, React, Redux, and AWS

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.

New York City
Job type
Visa sponsorship
Not Available
Hiring contact

Samir Vasavada

Avatar for Samir Vasavada

Vise at a glance

AI powered Investment Management and Intelligence for Financial Advisors

Vise focuses on SaaS, Financial Services, Artificial Intelligence, Wealth Management, and Financial Technology. Their company has offices in New York City. They have a small team that's between 11-50 employees. To date, Vise has raised $16.5M of funding; their latest round was closed on May 2020.

You can view their website at http://www.viseai.com or find them on Twitter, Facebook, and LinkedIn.

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