Python Developer

Title – Python Developer 10 + years exp and Banking exp
Location – Toronto, ON (Mandate 4 days onsite)
Note – In-person interview is mandatory
We are seeking an experienced Python Developer with a strong background in the banking sector to join our team. The ideal candidate will bring 5 years of hands‑on Python development experience combined with expertise in data processing, feature engineering, and data cleansing. This role is critical in building and maintaining robust data pipelines and analytical solutions that support our banking operations and decision‑making processes.

Key Responsibilities

Design, develop, and maintain scalable Python‑based data processing pipelines to handle large volumes of banking data including transactions, customer information, and financial records

Implement efficient ETL (Extract, Transform, Load) processes to integrate data from multiple banking systems and external sources

Optimize data workflows for performance, reliability, and scalability to support real‑time and batch processing requirements

Collaborate with data scientists and analysts to develop sophisticated feature engineering solutions for credit risk models, fraud detection systems, and customer analytics

Transform raw banking data into meaningful features that enhance predictive model performance

Create and maintain feature stores and reusable feature pipelines to support machine learning initiatives

Data Quality & Cleansing

Implement comprehensive data validation frameworks and cleansing routines to ensure data accuracy, consistency, and completeness

Identify and resolve data quality issues including missing values, outliers, duplicates, and inconsistencies in banking datasets

Develop automated data quality monitoring and alerting systems to proactively detect and address data anomalies

Technical Development

Write clean, efficient, and well‑documented Python code following industry best practices and internal coding standards

Develop and maintain APIs and microservices to support data access and integration across the organization

Implement unit tests, integration tests, and participate in code reviews to ensure code quality and reliability

Required Qualifications
Experience & Education

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent practical experience)

Minimum 6 years of professional experience in Python development

Proven experience working in the banking, financial services, or fintech industry with understanding of banking products, processes, and regulatory requirements

Technical Skills

Expert‑level proficiency in Python and its data ecosystem including pandas, Num Py

Strong experience with data processing.

Hands‑on experience with feature engineering techniques including encoding, scaling, binning, transformation, and dimensionality reduction

Demonstrated expertise in data cleansing methodologies including handling missing data, outlier detection, data normalization, and validation

Proficiency with SQL and experience working with relational databases (Postgre

SQL, MySQL, Oracle)

Experience with version control systems (Git) and CI/CD pipelines

Domain Knowledge

Strong understanding of banking domain concepts including retail banking, corporate banking, payments, lending, or risk management

Knowledge of banking data structures, transaction processing, and regulatory reporting requirements

Awareness of data privacy regulations and compliance standards relevant to banking (e.g., GDPR, PCI‑DSS, Basel III)

Preferred Qualifications

Experience with machine learning model deployment and MLOps practices

Familiarity with data visualization tools such as Tableau, Power BI, or Python libraries (matplotlib, seaborn, plotly)

Understanding of software design patterns and architectural principles

Exposure to Agile/Scrum development methodologies

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