Lead Python Developer for Quantitative Finance

Lead Python Developer for Quantitative Finance

Location :

Toronto, ON (Hybrid, 3 days

onsite)

Role Summary We are seeking a highly

skilled Lead Python Developer to join a team building high

performance, scalable reporting solutions for fixed income pricing

and risk metrics, leveraging Quantitative Finance libraries and

integrating with Bloomberg APIs. The ideal candidate will bring

deep technical expertise in Python and financial computation

frameworks.

Responsibilities

Design and implement Python

based modules of quant finance (Quantlib) software libraries for

bond pricing, yield curve modeling, and risk

analytics.

Develop and maintain reusable

components for Quantlib financial

metrics.

Integrate with Bloomberg APIs and

other market data sources to retrieve and validate pricing

inputs.

Implement and optimize Quantitative

Finance libraries (e.g., QuantLib, PyQL, finmath) for high accuracy

metric calculations.

Collaborate with data

engineers and analysts to ensure seamless integration with

cloud‑based data pipelines.

Ensure precision

3 decimal accuracy) in all pricing and risk

computations.

Support testing, validation, and

deployment of analytics modules in production

environments.

Required Technical

Skills

7+ years of professional experience in

Python development, with a focus on numerical computing or

financial analytics.

Strong experience with

Quantitative Finance libraries such as QuantLib, PyQL, or

similar.

Proven expertise in API integration,

especially with Bloomberg APIs or other financial data

providers.

Experience working in Agile / Scrum

environments and collaborating with cross‑functional

teams.

Seniority level Mid‑Senior

level

Employment type

Contract

Job function Information

Technology

J-18808-Ljbffr