Python Developer

We are

At Synechron we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechrons progressive technologies and optimization strategies span end-to-end Artificial Intelligence Consulting Digital Cloud & DevOps Data and Software Engineering servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization from Artificial Intelligence and Blockchain to Data Science models Digital Underwriting mobile-first applications and more. Over the last 20 years our company has been honored with multiple employer awards recognizing our commitment to our talented teams. With top clients to boast about Synechron has a global workforce of 16400 and has 60 offices in 20 countries within key global markets.

Our challenge

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.

Additional Information*

The base salary for this position will vary based on geography and other accordance with law the base salary for this role if filled within Toronto ON is CAD $105k CAD $115k/year & benefits (see below).

The Role

Responsibilities:

• Data Engineering & Processing
  • 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.
• Feature Engineering & Model Support
  • 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.

Requirements:

• 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.
• Expert-level proficiency in Python and its data ecosystem including pandas NumPy
• 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 (PostgreSQL MySQL Oracle).
• Experience with version control systems (Git) and CI/CD pipelines
• 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 but not required:

• 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.

We offer:

• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave(floating days and sick days).
• A comprehensive insurance plan including medical dental vision life insurance and long-term disability.
• Flexible hybrid policy.
• RRSP with employers contribution up to 4%.
• A higher education certification policy.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the worlds leading tier-one banks financial institutions and insurance firms.
• A truly diverse fun-loving and global work culture.

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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