We are currently seeking for a Lead Data Scientist to join our team. Nasdaq has over 20 years of experience providing surveillance tools for regulators, exchanges, and banks. You will be a part of a team designing an AI surveillance solution running across 170+ markets and involving 180+ participants and venues. Your daily tasks will involve training models with a large labeled dataset. Collaboration with Nasdaq market surveillance teams in the US and the EU for prototyping and beta-testing the models will be required. Continuous collaboration with a wide range of peer customers to enhance the solution will also be necessary.

Duties and Responsibilities

• Collaborate with peers to onboard and evaluate a broad array of highly unique data
• Leverage financial market expertise to develop new Alternative Data products, from concept to completion
• Perform quantitative and fundamental analyses of new products to assess their informational advantage
• Build product collateral, such as web documentation, white papers, and presentations
• Interact directly with clients to answer technical questions about your products

Qualifications and Skills

The ideal candidate is an expert in data science/ machine learning.
• Several years of experience in the design and implementation of machine learning algorithms for multi-variate optimization
• Demonstrated experience of working with Big Data
• Have a proven track record of machine learning models successfully operating in a production environment
• Be able to set-up and lead data science function
• Experience working with LLMs
• Ability to analyse and interpret data and extract business insights and trends
• Demonstrate good problem solving skills and creative thinking
• Ability to stay up-to-date with A.I. trends/developments
• Demonstrate the ability to define, document and implement a model review governance process for the NTS business
• Be capable of creating comprehensive documentation that explains the design, training, and testing processes for the models intended for deployment to customers
• Possess excellent communication skills to participate in clients calls and successfully address their questions
• Proficient in Python and SQL
• Experience with Databricks, Spark, Redshift, AWS and other big data and cloud technologies is a plus
• Hardworking, intellectually curious, and able to excel in a fast-paced, ambitious environment

What You Will Get:

You can expect an autonomous but fast-paced work environment where you are recognized for your results and ability to drive things forward. Every day brings many opportunities to learn & grow and rewards with the global impact we create.

• Monthly base salary starting from 4000 EUR gross based on your experience
• Annual monetary bonus
• An opportunity to become a Nasdaq shareholder
• Employee Stock Purchase Program Nasdaq stocks with a discount
• Flex day program (up to 6 days a year)
• III pillar pension plan with additional contribution from Nasdaq
• Flexible health Insurance program
• Additional paid leave days after 2 years of working at Nasdaq
• Internal mentorship program get a mentor or become one
• Wide selection of online learning resources, e.g Udemy, OReilly

It's a full-time permanent position located in Vilnius. As the selection and interview process is ongoing, please submit your application in English as soon as possible.
A valid working permit for the EU is required.

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.