Halifax, NS, CA
25 days ago
Senior Data Modeller and ML Strategist
Position Description:

We are seeking a Senior Data Modeller with experience in banking and credit risk strategy development, product analytics, machine learning model development, and strategy reporting enhancements. The ideal candidate will play a crucial role in driving our data initiatives, optimizing our credit risk processes, and enhancing our product analytics capabilities.

This is a Hybrid position based out of Atlantic Canada. One needs to be based or must be willing to relocate to anywhere in Atlantic Canada (NS or NB or NL or PEI)

Your future duties and responsibilities:

• Credit Risk Strategy Development: Design and implement robust credit risk models that support the development of effective risk management strategies and product offerings.
• Machine Learning Model Development: Develop and deploy machine learning models to enhance credit scoring, risk assessment, and customer segmentation.
• Product Analytics: Analyze product performance and customer behavior to provide actionable insights that drive product enhancements and strategic decision-making.
• Data Modelling: Create, maintain, and optimize data models to support the organization’s credit risk and product analytics functions.
• Reporting Enhancements: Collaborate with stakeholders to enhance strategy reporting, ensuring that key metrics are clearly communicated and actionable.
• Cross-Functional Collaboration: Work closely with risk management, product development, and data science teams to align data strategies with business objectives.
• Data Governance: Ensure data quality and integrity through the implementation of robust data governance practices.
• Mentorship: Provide guidance and mentorship to junior data analysts and modelers, fostering a culture of continuous improvement and knowledge sharing.

Required qualifications to be successful in this role:

• Bachelor’s degree in Data Science, Finance, Mathematics, Statistics, or a related field; Master’s degree preferred.
• Minimum of 4-5 years of experience in data modelling, with a focus on credit risk strategy development in the banking sector - mandatory.
• Proficiency in machine learning techniques and tools (e.g., Python, R, SQL) for model development and analysis.
• Strong understanding of credit risk frameworks, products, and regulatory requirements.
• Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights.
• Excellent analytical skills with a proven ability to translate complex data into actionable strategies.
• Strong communication skills, with the ability to present findings to both technical and non-technical stakeholders.


*LI-AD1

Skills: Business AnalysisData AnalysisData ModelingSystems Analysis What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Come join our team—one of the largest IT and business consulting services firms in the world.

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