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Added 6 mins ago
VC
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- Full-time
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- $70,000 to $120,000 CAD / year
- Other
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Added 7 mins ago
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MC
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- $50,000 to $53,000 CAD / year
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Added 22 mins ago
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Added 22 mins ago
AW
Bilingual Customer Success Associate
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Our core mission is to expand access to trusted financial advice by equipping independent advisors and dealers with the operating systems, custody infrastructure, and disciplined governance…
Added 22 mins ago
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Quebec, QC
- Contract
…enterprise middleware and platform environments for a global financial…

MPA Recruitment

Quantitative Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$135,000 to $170,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $135,000 to $170,000 CAD / year
Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

MPA Recruitment has been retained a leading FinTech org in the intelligent trade surveillance space to recruit a Quant Developer for their Toronto team (hybrid).

Founded in 2010, this company delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.

With a team of over 150 experts worldwide, they combine global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role

We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our Professional Services division, you'll collaborate with a team of ex-Traders and Structurers to create and deploy custom market abuse metrics and analytics.

The successful candidate will combine financial markets expertise and stakeholder management skills in this customer facing position, and develop a detailed understanding of the model-based approach to market abuse surveillance.

Responsibilities:

Understand customer needs through both direct contact and analysis of their trade data
Design and implement custom metrics and models via our CaaS product
Contribute to PoCs and the technical onboarding of new customers
Perform technical tasks such as system configuration, running data batches and troubleshooting implementation issues
Use our in-house big data language for large-scale pricing and data analysis
Collaborate cross-functionally with internal stakeholders to ensure timely delivery, such as our sales and engineering teams

Requirements

Hands-on skills in a programming language such as C#, C++ or Python
Proven industry experience in financial markets from a trading, risk or quantitative perspective
Sound knowledge of the fixed-income asset class, including derivatives
Deep understanding of risk sensitivities or "Greeks" such as Delta, Gamma, DV01 etc.
Good interpersonal skills and keen to collaborate closely with customers
Excellent written and oral communication, with the ability to summarise information to stakeholders in a clear and concise manner
Able to prioritise, assign and manage competing customer needs
Keen to work in a fast-paced environment

Benefits

You will benefit from a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.

Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

Annual discretionary performance bonus (permanent employees only)
Office lunches twice a week
Private medical insurance + dental cover
Extended parental leave (up to 6 months of fully paid maternity leave)
25 days annual leave + bank holidays
Enhanced company pension plan
5 days study leave towards professional qualifications
Salary sacrifice schemes
Death in service coverage

To find out more please send an up to date resume to Conall.anderson@mparecruitment.ca

Apply About employer

More about this job

Responsibilities

Design, implement, and validate custom market-abuse metrics and quantitative models, using customer trade data and the company’s CaaS product. Support proofs of concept and customer onboarding, perform system configuration and troubleshooting, and coordinate delivery with customers and internal sales and engineering teams.

Requirements

Candidates need hands-on programming experience in C#, C++, or Python and industry experience in financial markets from a trading, risk, or quantitative perspective. They should have strong fixed-income and derivatives knowledge, understand risk sensitivities such as Delta, Gamma, and DV01, and demonstrate effective customer communication, collaboration, and prioritization skills.

Skills

C#
C++
Python
Financial Markets
Trading
Risk Analysis
Quantitative Analysis
Fixed-Income Products
Derivatives
Risk Sensitivities
Delta
Gamma
DV01
Stakeholder Management
Customer Communication
Data Analysis

Benefits

Annual Discretionary Performance Bonus
Office Lunches Twice A Week
Private Medical Insurance
Dental Cover
Extended Parental Leave
25 Days Annual Leave Plus Bank Holidays
Enhanced Company Pension Plan
Study Leave
Salary Sacrifice Schemes
Death In Service Coverage

Visa sponsorship

Not detected in the job text

Hiring contact

Conall Anderson

Hiring contact email

Conall.anderson@mparecruitment.ca

Keywords

Quantitative Development
Financial Technology
Trade Surveillance
Market Abuse
Market Manipulation
Quantitative Models
Financial Markets
Fixed Income
Derivatives
Risk Sensitivities
Delta
Gamma
DV01
C#
C++
Python
CaaS
Big Data
Pricing Analysis
Trade Data
Data Analysis
Proof Of Concept
Customer Onboarding
System Configuration
Troubleshooting
Professional Services
Stakeholder Management
Risk Management

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