Business Information Management Specialist II

90941
Toronto, Ontario
Contract
3 hours ago

Job Title: Business Information Management Specialist II
Location: Toronto, ON (Hybrid)
Estimated Duration: 12 Months

SUMMARY OF THE ROLE:
Department Overview:
The Trading Risk Model Development group within Model Development is responsible for the development, maintenance and calibration of various Market, Stress Testing and Counterparty Credit Risk models. We interact with various stakeholders in the bank to achieve our mandate.
Job Description:
We are looking for a strong candidate to join the Market Risk Stress Testing group. The successful candidate will analyze, develop, maintain and execute models and methodologies for projecting financial variables for internal and regulatory stress tests (DFAST, EWST, MST), and will also contribute to other development work to support our stakeholders.
Customer and Shareholder Accountabilities:

  • Research, develop, and implement new and improved modeling methodologies to project market risk variables required by the different Stress Testing programs.
  • Execute Stress Testing models during the stress testing cycles.
  • Maintain the current suite of models in accordance with established model lifecycle requirements.
  • Research and develop models and code solutions to support our stakeholders.
  • Document modeling methodologies in technical reports in a transparent and effective manner.
  • Liaise with other business partners (Model Validation, Enterprise Market Risk Control, client Securities Technology, Client Economics, and various Stress Testing groups across the bank) to ensure timely delivery of new models/model methodologies, test the implementation of models in the bank's risk systems, and investigate/resolve modeling issues.
  • Analyze and provide commentary on pricing and stress testing models currently employed by client.
  • Adhere to the governance policies and procedures relevant to the team.

Employee/Team Accountabilities:

  • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques.
  • Prioritize and manage own workload to deliver quality results and meet assigned timelines.
  • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest.
  • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency.
  • Establish effective relationships across multiple business and technology partners, program and project managers.
  • Participate in knowledge transfer within the team and business units.
  • Communicate clearly and effectively with leadership and other stakeholders, including on complex technical subjects and model methodologies.

MUST-HAVE Hard Skills:

  • Strong analytical background in quantitative finance and statistical modeling gained through practical experience and/or academic studies.
  • Knowledge of the valuation of financial derivatives and market risk modeling approaches for various asset classes (e.g. Rates, Credit, EQ, FX, etc.).
  • Programming skills in R and Python;

SOFT SKILLS:

  • Strong team member with the ability to work effectively with colleagues and independently when required.
  • Good technical writing and verbal communication skills.

NICE-TO-HAVE

  • C ++

The pay range that the employer reasonably expects to pay for this position is between CA$50.00 and CA$57.00

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

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