Quantitative Analyst

Laz Partners

Zürich

Vor Ort

CHF 120.000 - 150.000

Vollzeit

Vor 13 Tagen
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Zusammenfassung

Laz Partners in Zürich is hiring a Quantitative Analyst at Analyst level to support a leading quantitative strategy team. You will work closely with portfolio managers and leadership across the business in a growth-driven environment.

You will contribute to IG Credit and broader fixed income projects, building models and performing ad-hoc quantitative work. Path to Associate after demonstrating strong performance.

Qualifikationen

  • Top university graduate in a STEM field (mathematics, CS, financial mathematics, engineering, or equivalent).
  • Strong grounding in quantitative methods: stochastic modelling, Monte Carlo, probability theory.

Aufgaben

  • Support the senior quants on IG credit and broader quantitative projects.
  • Build and run quantitative models covering stochastic processes, probabilities, and Monte Carlo methods.
  • Work across data analysis, model development, pricing and output review.
  • Handle multiple concurrent tasks and deliver clear, well-reasoned outputs to the team.

Kenntnisse

Quantitative analysis
Stochastic modelling
Monte Carlo
Data analysis
Model development
Pricing

Ausbildung

STEM degree

Tools

Python

Jobbeschreibung

Quantitative Analyst | Leading Investment Platform | Quant team | Analyst

Role Overview

We have partnered with a leading Investment Manager looking to hire a Quantitative Analyst for their highly respected quantitative strategy team base in Zurich. The team has a strong track record and is going through a major growth phase, and this expansionary hire would be working closely with the portfolio managers and leadership across the broader business.

The core of the mandate would be supporting the senior quants with projects they are working on across IG Credit, Private Credit, and broader fixed income products, as well as building models and supporting with ad-hoc quant work across various investment desks.

The role is at Analyst level, with a realistic path to Associate after a couple of years for someone who performs well.

Key Responsibilities
  • Support the senior quants on IG credit and broader quantitative projects
  • Build and run quantitative models covering stochastic processes, probabilities, and Monte Carlo methods
  • Work across a range of tasks spanning data analysis, model development, pricing and output review
  • Handle multiple concurrent tasks at pace and deliver clear, well-reasoned outputs to the team
Requirements
  • A top university graduate with a STEM degree in mathematics, computer science, financial mathematics, engineering, or equivalent
  • Strong academic grounding in quantitative methods: stochastic modelling, Monte Carlo simulation, probability theory
  • Python fluency, able to build tools and run analysis independently from day one
  • 0-2 years of experience; strong recent graduates with the right technical profile are also welcome
  • Fixed income or credit knowledge is a plus, the team will teach the specifics on the job
  • Sharp analytical mind, comfortable working independently on open-ended quantitative problems
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