Associate

Agam Capital; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Agam Capital in Toronto, Ontario, is seeking associates to join the Quantitative Analytics team, providing modeling and development support for the pALM platform.

The role focuses on developing and maintaining models for financial/regulatory reporting, asset and liability management, and capital optimization, with opportunities to automate processes and improve end-user tools. Strong programming skills and a quantitative background are required; ASA/CFA a plus.

Qualifications

• Graduate or undergraduate degree in Quantitative Finance, Actuarial Science, Mathematics, Statistics, or related quantitative field.
• Strong programming skills in one or more languages (C, C#, C++, Python, R, other).
• Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment.

Responsibilities

• Supporting ongoing development and maintenance of models and end-user computing tools through testing of new functionality.
• Identifying, developing, and implementing solutions to automate processes, improve efficiency, and enhance end-user experience.
• Developing new functionalities and modelling enhancements as necessary, including improved efficiencies.
• Analyzing and summarizing large datasets of pertaining to financial assets and/or insurance liabilities.
• Supporting experience analysis on insurance blocks
• Contributing to new project initiatives and conducting research as required.

Skills

Quantitative modeling

Programming (C/C++, Python)

Data analysis

Communication

Education

Bachelor's or higher in Quantitative Finance / Actuarial Science / Math / Stats

Job description

Agam was founded in 2016 with the vision to create a cutting edge differentiated analytical platform. The execution towards this vision continued with the development of pALM, Agam’s proprietary asset and liability management (ALM) system. Offering the only end-to-end enterprise-wide risk and capital analytic solution, Agam empowers strategic decision makers towards their capital optimization goals. With a fully embedded dynamic strategic asset allocation (SAA) and enterprise risk management (ERM) infrastructure, pALM supports Agam’s ability to offer one stop, turnkey insurance solutions.

We are seeking associates to become part of our quantitative solution team, providing quantitative modeling and development support for the pALM platform.

Key responsibilities include:

Agam’s Quantitative Analytics team is accountable for developing and maintaining models used for financial/regulatory reporting and for financial projections in support of balance sheet/capital optimization, strategic/tactical asset allocation and other ad hoc analysis in support of client initiatives.

Reporting to the Director, Quantitative Analytics, the Associate will be accountable for:

• Supporting the ongoing development and maintenance of models and end-user computing tools through testing of new functionality
• Identifying, developing, and implementing solutions to automate processes, improve efficiency, and enhance end-user experience
• Developing new functionalities and modelling enhancements as necessary, including improved efficiencies
• Analyzing and summarizing large datasets of pertaining to financial assets and/or insurance liabilities
• Supporting experience analysis on insurance blocks
• Contributing to new project initiatives and conducting research as required

Requirements:

• Graduate or undergraduate degree in Quantitative Finance, Actuarial Science, Mathematics, Statistics, or related quantitative field Strong programming skills in one or more languages (C, C#, C++, Python, R, other)
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment.

Preferred:

• Experience with data-driven analytics and analyzing large datasets
• Familiarity with a cashflow projection and valuation techniques for a wide range of public and private financial instruments
• ASA/FSA or CFA/FRM or similar designation a plus
• Previous work experience in financial services or the insurance industry is a plus
• Knowledge of US GAAP, US Stat, and/or Bermuda framework regulations is a plus