Quantitative Index Specialist - Hybrid/Flexible Hours

Solactive

Toronto

Hybrid

CAD 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
Healthcare coverage
Modern Toronto office

Job summary

Solactive AG in Toronto is seeking a finance/quant professional to advance index calculation and client-facing support within our Complex Operations team. You will develop and optimize tools, onboard index models, and assist clients with inquiries.

A background in quantitative finance, strong Python skills, and knowledge of capital markets are essential. The role offers a hybrid work model, exposure to global projects, and a modern Toronto office.

Qualifications

  • Academic degree in (Quantitative) Finance, Financial Engineering, Information Technologies or similar.
  • Solid knowledge in capital markets.
  • At least 3 years of experience in the financial industry.
  • Proven programming skills in Python.
  • Good command of MS Office.
  • Experience with Reuters, FactSet or Bloomberg would be a plus.
  • Team-orientation and strong sense of responsibility and accuracy.
  • Self-driven, organized and innovative approach to work.
  • Fluency in English (written and verbal).

Responsibilities

  • Continuously developing and optimizing of existing tools and processes.
  • Onboarding new and maintaining existing quantitative index models based on derivatives, FX as well as Equities and Fixed Income securities for our clients.
  • Assisting clients with index and/or operational inquiries.
  • Serve as a model and data expert for the daily index calculation production.

Skills

Python
Capital markets
MS Office
Team orientation
Self-driven
English fluency

Education

Quantitative Finance / Financial Engineering / IT-related degree

Tools

Reuters
FactSet
Bloomberg

Job description

Solactive AG in Toronto is seeking a finance/quant professional to advance index calculation and client-facing support within our Complex Operations team. You will develop and optimize tools, onboard index models, and assist clients with inquiries.

A background in quantitative finance, strong Python skills, and knowledge of capital markets are essential. The role offers a hybrid work model, exposure to global projects, and a modern Toronto office.

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