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. Synechron’s 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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are looking to hire a Data & AI Engineer to build, manage and deploy cutting edge Data and AI solutions for Investment Research, Banking, Sales and Trading.

The Role

Responsibilities:

• Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research, Banking and Global Markets.
• Provide subject matter expertise in distributed and parallel computing. Analyze ML and data processing workloads to identity latency contributors, inefficient compute utilization and provide remediation recommendations.
• Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks
• What do you need to succeed?
• Experience with Terraform

Requirements:

You are:

• Experience with Python, SQL, PySpark, MLflow
• Degree in Computer Science or Engineering
• In depth knowledge of Algorithms and Data Structures and distributed computing.
• Experience building end to end Data & ML pipelines covering data ingestion, transformation, feature engineering, model development and tuning, evaluation, deployment and inference.

Nice-to-have:

It would be great if you also had:

• Experience with Azure Databricks, Spark, Snowflake, Kubernetes
• Exposure to Generative AI stack (LLMs, Agents, MCP Servers)

We can offer you:

• A multinational organization with 58 offices in 21 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 to fit your schedule
• RRSP with employer’s 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 Centre of Excellences (CoE) groups
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
• A truly diverse, fun-loving, and global work culture

S YNECHRON’S 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 applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.