Senior Consultant - Python Developer (Data Solutions & Analytics)

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The Opportunity

As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in designing, developing, and maintaining scalable Python applications, with a particular focus on data processing, analytics, and automation solutions.

This role will support data-driven initiatives through the development of efficient data pipelines, business solutions, and reporting capabilities while collaborating closely with business stakeholders, analysts, and technology teams.

This job posting relates to an existing vacancy within our organization.

Your Key Responsibilities

• Design, develop, test, and maintain Python applications and data solutions.
• Build and optimize data processing workflows using Python and Pandas.
• Develop ETL/ELT processes to collect, transform, and load data from multiple sources.
• Analyze large datasets and deliver actionable insights.
• Create reusable, scalable, and maintainable code following best practices.
• Collaborate with cross-functional teams to define technical requirements and deliver solutions.
• Troubleshoot and resolve application and data-related issues.
• Participate in code reviews and contribute to continuous improvement initiatives.
• Develop technical documentation and knowledge-sharing materials.
• Prepare deliverables including documentation, reports, and client presentations

Skills and Attributes for Success

• Experience in lending domain (retail, commercial, or corporate lending)
• Strong understanding of lending lifecycle: origination, credit assessment, underwriting, servicing
• Familiarity with loan platforms and banking systems
• Understanding of system integration, APIs, and data flows
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder collaboration skills

What We Look For

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 3+ years of professional experience in Python development.
• Strong proficiency in:
  • Python
  • Pandas
  • SQL
  • Data manipulation and transformation

Ideally, You’ll Also Have

Experience with:

• NumPy
• Polars
• PySpark
• Scikit-learn
• FastAPI or Flask
• Azure Data Factory
• Azure Databricks
• Microsoft Azure
• Power BI
• Knowledge of cloud-based data architectures.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with Docker and containerized applications.
• Experience working in Agile environments.
• Understanding of data governance and data quality principles.

Previous experience in financial services, banking, or lending environments is considered a strong asset.

Familiarity with banking data, financial products, risk, credit, or regulatory reporting processes is a plus.

What we offer you

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry

• Learning opportunities to develop new skills and progress your career

• The freedom and flexibility to handle your role in a way that’s right for you

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

• Toronto: $90,500 to $136,000

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.