Quantitative Engineer - AI-Driven Wealth Tech

Viseai

New York (NY)

On-site

USD 190,000 - 270,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and equity
Unlimited PTO and benefits, including $1 medical insurance
401k plan with generous matching

Job summary

Viseai is seeking a passionate Quantitative Engineer to join its talented engineering team in New York. In this role, you will partner closely with investment strategy teams to build sophisticated investment models and write production-ready quantitative models using advanced numerical techniques.

The ideal candidate thrives in a creative, fast-paced environment and is experienced in programming with Python, keenly interested in optimizing numerical computations, and has a strong analytical mindset. Join us in revolutionizing the RIA wealth management industry.

Qualifications

  • 3+ years experience programming in Python.
  • Applied experience in building production-level workflow infrastructure.
  • Prior professional experience within financial markets is a plus.

Responsibilities

  • Maintain and expand the tax-aware portfolio optimizer using optimization techniques.
  • Develop expertise in trade market microstructures.
  • Build rigorous testing frameworks and pipelines.

Skills

Programming in Python
Interest in highly optimized numerical computations
Excellent comprehension of statistics
Strong analytical skills
Excellent interpersonal and communication skills
Collaborative with a team-first mentality

Education

Bachelor's/Master's/Ph.D in STEM majors

Job description

Viseai is seeking a passionate Quantitative Engineer to join its talented engineering team in New York. In this role, you will partner closely with investment strategy teams to build sophisticated investment models and write production-ready quantitative models using advanced numerical techniques.

The ideal candidate thrives in a creative, fast-paced environment and is experienced in programming with Python, keenly interested in optimizing numerical computations, and has a strong analytical mindset. Join us in revolutionizing the RIA wealth management industry.

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