Location: Toronto, ON - Hybrid (4 days on site)
Pay Rate: $61.81/hr - $72.99/hr
Contract Length: 12 Months
We at Raise are hiring a Risk Analyst - Expert for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.
Responsibilities The incumbent will be responsible for managing, monitoring, and developing predictive risk models that support Small Business, Commercial Banking and Capital Markets in Commercial & Wholesale Credit Risk.
Modeling responsibilities covers a wide variety of models including, but not limited to, Machine learning, Artificial Intelligence, credit scoring, and surveillance models for the purpose of reducing losses or driving revenue in the portfolio
Responsible for sourcing data, engineering features, as well as developing, monitoring, and deploying models.
Extract, clean, validate, and analyze usable data from multiple data sources/providers to quantify borrower behavioral patterns.
Participate in data assessment and procurement for credit modeling and analytics, help automate the underlying credit modeling feature farm, assess, and address data gaps, as well as develop, monitor, and deploy credit risk models.
Engage with stakeholders and experts across adjudication and line-of-business throughout model development cycle; solicit input from expert and ensure models are business-sound.
Prepare model documentation, source codes, presentation decks, and/or model monitoring reports.
Responsible for resolving issues raised by independent validation, Internal Audit and ongoing model monitoring.
Must Have Skills Undergraduate degree in computer science, finance, mathematics, statistics,



or economics, with at least 5+ years of working experience in related credit risk modelling roles.
Demonstrated knowledge of Data pipelines, Data cleaning, credit risk models and time series analysis.
Hands-on experiences with large datasets (ingestion, processing, merging and aggregation of data), with fluency in both SQL and big data/cloud technologies (Hadoop, PySpark, S3).
Strong Python coding skills to support automation and efficient end-to-end model scoring and Implementation from technical aspect, from the data side
Robust understanding and working knowledge of advanced statistical methods and machine learning techniques for classification and regression tasks.
Experience in code sharing and version control solutions (GitHub).
Ability to work with UNIX command line.
Nice To Have Skills Knowledge of other programming languages such as R, Java, SAS.
Master's degree in computer science, finance, mathematics, statistics, or economics.
Knowledge of GenAI use cases in retail / commercial lending.
Prior model development experiences for IFRS9, stress testing or capital measurement.
Looking for meaningful work? We can help! We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

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📌 Risk Analyst - Expert (Ontario)
🏢 Raise
📍 Ontario