As a part of the AI Analytics team, this role leverages Nasdaq Verafin’s vast quantity of data to innovate solutions to key business problems. In this role, you will use your technical ability to solve non-routine analysis problems, generating insights to support business goals and product development. 
 
You will identify opportunities for improvement and demonstrate the effectiveness of solutions through a data-driven, scientific approach. The results of your work will help Nasdaq Verafin detect and prevent financial fraud and money laundering, helping accomplish the company’s purpose: to fight crime!  
  

Role Responsibilities  

• 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  

• Willingness to ask for help, learn from, and mentor others  

Essential Skills and Qualifications  

• A Master’s degree in Computer Science, Mathematics, Statistics, or another quantitative discipline  

• 2+ years experience 

• Proficient with SQL, Java, Python, and major Python data science libraries  

• Experience with Simulation techniques or generation of synthetic data  

• Strong interpersonal and communication skills; able to explain technical concepts to an audience of varying technical backgrounds; able to create meaningful data visualizations  

• Comprehensive understanding of statistical and mathematical techniques used in data science  

• Strong analytical skills and creativity to solve complex problems  

Experience in any of the following areas would be considered an asset:  

• Experience in the banking or financial domain  

• Supervised and unsupervised machine learning  

• Optimization and evolutionary algorithms  

• Numerical analysis and convergence testing  

• Research experience demonstrated through a record of publishing papers in academic journals or conferences  

What Does Success Look Like In This Role?   

• Producing consistent and understandable analyses usable by other teams  

• Iterating on best practices and repeatable methodologies  

• Providing expert guidance to product teams on data science related topics  

What Does Growth Look Like In This Role?  

• Develop along the technical leadership path including Specialist and Lead Data Scientist  

This role will close on December 13th at 11:59 PM NST 

This position can be located in St. John’s or Toronto, and offers the opportunity for a hybrid work environment (2 days a week in office), providing flexibility and accessibility for qualified candidates.

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.