Manager, Counterparty Credit Risk Innovative

1 week ago

Toronto, Ontario, Canada Raise Full time

Our Banking client in
Toronto, Ontario is looking to hire a
Manager, Counterparty Credit Risk Innovative Analytics - IT for a
6-months contract role.



What you will be doing

  • As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design, and delivery of an advanced multidisciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.
  • If you're a handson technical expert with proven experience operating within highperforming teams, are continuously learning, and excited to collaborate with those around you—we have a spot for you on our team.
  • Develop a thorough understanding of the current state of CCR analytic frameworks, endtoend CCR metric generation processes and their connection with various upstream source systems.
  • Contribute to the research, development, and implementation of new mathematical models for calculating various CCR measures. Considerable amount of creative, innovative & analytical thinking and problem solving is required.
  • Demonstrate exceptional communication skills (written and oral) by synthesizing key messages across distinct domains into a coherent action plan.
  • Leverage data analysis, querying and data exploration knowledge on CCR's diverse number of data sources to perform statistical analysis, build machine learning models and deploy productiongrade solutions for identifying insights and opportunities.
  • Become an expert in understanding CCR Innovative Analytics Team's exiting libraries, leverage them to support delivery of new initiatives in collaboration with various CCR teams and lead KT sessions when required.
  • Partner with and support other teams as required; there are many teams, yet we are one team.

What you will need to succeed

Must Have Skills:

  • Graduate degree in STEM fields; doublemajor in Economics/Finance/Business and STEM. Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, and time series) and one of the key risk pillars (market, credit, or liquidity).
  • Exceptional development expertise in Python programming writing productiongrade code. Expertise with objectoriented and eventdriven architecture (OOAD & SOLID principles) and Spark frameworks.
  • Strong data profiling, cleaning, engineering, mining, and technical documentation skills; SQL/

Data Stores:
SQL, PostgreSQL, S3, HDFS and SparkQL.

  • Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub, and Confluence).
  • Selfstarter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals.
  • Strong quant data background.

Nice-To-Have Skills:

  • Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholder.
  • Familiarity with building dashboards using Plotly and Dash in Python is an asset.
  • Experience with Airflow, graph databases, Jupyter Notebooks, other MLrelated technologies.
  • Familiarity running distributed ML workloads in cluster orchestrated environments.
  • Experience with HTML, CSS and Web Development would be an asset.

Looking for Meaningful Work? We can help


If you're a technical professional, you know that it can be difficult to find fulfilling work that advances your career.

At the Ian Martin Group, we exist to connect professionals like you with meaningful work at industry-leading companies in your field.


And we walk the walk, too:

as a Certified B Corporation, we believe in using business as a force for good for people, our communities, and the environment.

**Ewemi

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