Verafin Senior Data Scientist

The Role

We’re looking for a Senior Data Scientist to join our Machine Learning Platform team, reporting to the Director – Software Development. In this role, you’ll help shape how we harness Nasdaq Verafin’s cloud scale data to design and deliver analytics that power our financial crime fighting network, advancing solutions that detect and prevent fraud and money laundering for institutions worldwide!

You’ll fit right in if you’re data driven, curious, and collaborative, love working across teams and time zones, and get energy from tackling non routine analytical challenges that turn insights into meaningful product and business outcomes on a global scale!

What You’ll Do

Analyze real and experimental data to derive quantitative insights

Contribute to data science initiatives through the identification of problems, design of solutions, and development of prototypes used to validate outcomes

Devise solutions for a variety of non-routine analysis problems

Work with talented, knowledge-driven individuals and share your ideas across the team

Assist with data-driven decisions based on project outcomes

Engage in continuous learning and knowledge exchange: ask questions, share expertise, and support team development.

What You’ll Bring

Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field

2+ years of industry experience in Data Science, Machine Learning, or a similar discipline

Proficiency in SQL, Python (including major data science libraries), and familiarity with Java, all in production environments

Hands-on experience with designing, developing, deploying and maintaining distributed computing solutions using PySpark or Ray for data analysis and model training

Hands-on experience with Terraform and machine learning operations technologies on AWS ecosystem such as SageMaker, S3, Lambda, and EMR jobs

Strong analytical and problem-solving skills, with creativity to tackle complex challenges

Fluency in communicating technical concepts clearly to diverse audiences and collaborate across teams

Experience creating impactful data visualizations and applying statistical/mathematical techniques

Nice to Have

Experience in the banking or financial domain

Experience developing in Scala

Strong understanding of statistical hypothesis testing to apply them in data sampling, bias analysis, A/B testing

Research experience demonstrated through publications in academic journals or conferences

This position will be located in St. John's or Toronto, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

This posting will close on December 12th at 11:59 PM NST

Kindly note that interviews and onboarding for this role are scheduled to begin in 2026.

Benefits & Rewards

We offer a competitive, well-rounded rewards package that supports you and your family — inside and outside of work.

Learn more on our Nasdaq Benefits & Rewards Career Page.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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