Job Title: Risk/Data Analyst

Location: Toronto, ON (Onsite)

Duration: 12 + Months

Interview Process: Webex + 2 In person

Building pipeline, Data Cleaning activities

Some Credit modelling/Credit risk Experience

Some Model Implementation

Python and SQL

Daily Responsibility:

- 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:

- Undergraduate degree in computer science, finance, mathematics, statistics, or economics, with at least 5 years of working experience in related credit risk modeling roles.
- 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).
- Solid Python coding skills to support automation and efficient end-to-end model scoring/implementation.
- Strong understanding and working knowledge of advanced statistical methods and machine learning techniques for classification and regression tasks.
- Demonstrated knowledge of credit risk models and time series analysis.
- Experience in code sharing and version control solutions (GitHub).
- Ability to work with UNIX command line.

If interested please share resume directly @[email protected] “Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process”.

We should include, “We use AI in our Hiring processes”, in all job postings for Canada.

📌 Risk Analyst (Toronto)
🏢 Mindlance
📍 Toronto