As a part of the AI Analytics team, this role leverages 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 effectiveness of solutions through a data-driven, scientific approach. The results of your work will help 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
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
After the purchase of Verafin by Nasdaq in 2021, we are excited to announce as of Jan 1st 2024 we have started to move toward becoming a fully integrated part of Nasdaq. The job you are applying for will be for the Verafin team as part of the larger Nasdaq organization. The folks involved in the recruitment process will be part of the Verafin team. If you are selected for an interview, we are happy to discuss any questions you may have related to these changes. Thank you for your interest in Verafin, a Nasdaq company.
This role will close on Sunday, July 7th at 11:59pm NST
This position 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.
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