Quantitative Developer, Asset and Liability Modeling

Quantitative Developer, Asset and Liability Modeling

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Quantitative Developer, Asset and Liability Modeling

role at

BMO .

We are looking for a

Quantitative Developer

with superior programming skills and a deep understanding of insurance investment operations, asset modeling, and complex derivatives pricing to join the BMOLA investment team. The successful candidate will play a pivotal role in designing, implementing, and validating models within the BQuant environment to support critical ALM functions, regulatory reporting, portfolio optimization, and risk management.

Key Responsibilities

Model Development and Implementation : Design, implement, and validate quantitative models tailored for insurance mandates, including asset pricing (bond pricing), derivative pricing (e.g., asset swaps, options, credit default swaps), ALM projections, and scenario analysis / stress testing.

BQuant Platform Expertise : Leverage the Bloomberg Quant (BQuant) Desktop platform and Bloomberg Query Language (BQL) to build, test, and deploy investment research, performance analytics, and capital modeling solutions directly integrated with Bloomberg’s comprehensive insurance data sets.

ALM Optimization & Regulatory Support : Collaborate with ALM teams to optimize asset allocation strategies within the constraints of insurance liabilities and regulatory capital.

Programming and Automation : Write robust, efficient, and scalable Python code to automate data acquisition, model execution, and regulatory reporting workflows, ensuring seamless integration with existing actuarial and investment systems.

Collaboration and Support : Work closely with portfolio managers, actuaries, and risk officers to translate complex business requirements into technical solutions and provide expert support on analytical tools and model outputs.

Required Qualifications & Skills

Programming Skills : Advanced proficiency in Python is mandatory, including experience with data analysis libraries (Pandas, NumPy) and the ability to build scalable applications.

Bloomberg BQuant Familiarity : Hands‑on experience using the Bloomberg Terminal and specific familiarity with the BQuant platform, BQL, and Bloomberg APIs (Excel API, Python API).

Quantitative Expertise : Solid understanding of financial mathematics, statistical modeling, and numerical methods.

Financial Knowledge : Deep knowledge of various asset classes relevant to insurance portfolios (fixed income, private credit, commercial mortgages) and complex financial instruments, especially derivatives used for hedging interest rate and credit risk.

Education : An advanced degree (Master’s or PhD) in a quantitative field such as Financial Engineering, Mathematics, Computer Science is highly preferred.

Problem‑Solving : Proven ability to troubleshoot complex issues, creative solutions, and communicate technical findings clearly to both investment and actuarial stakeholders.

Salary

$75,900.00 – $141,900.00

Pay Type

Salaried

The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part‑time roles will be pro‑rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‑based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit : https : / / jobs.bmo.com / global / en / Total-Rewards

About Us

At BMO we are driven by a shared Purpose : Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in‑depth training and coaching, to manager support and network‑building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https : / / jobs.bmo.com / ca / en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters : BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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