Job Description
Internship Overview
Nasdaq's Internship Program provides outstanding opportunities for students to gain hands-on experience during a 10-week internship. As part of the program, you will partner with a mentor, network with senior colleagues, and take on a real-world project with real-world impact and gain practical skills that will help shape your career for years to come. Additionally, you will meet with senior leaders and participate in professional development activities throughout your internship.
Nasdaq's Internship Program provides outstanding opportunities for students to gain hands-on experience during a 10-week internship. As part of the program, you will partner with a mentor, network with senior colleagues, and take on a real-world project with real-world impact and gain practical skills that will help shape your career for years to come. Additionally, you will meet with senior leaders and participate in professional development activities throughout your internship.
The Alternative Data group is currently seeking a Data Scientist Intern to join our team. Reporting to the Head of Data Science, the successful candidate will work alongside other Data Scientists in analyzing data and creating cutting edge financial data products that produce quantitatively measurable market insights. Note that investment domain experience is not required for this role; but would be a definitive plus.
Duties and Responsibilities
- Leverage Statistical modelling and machine learning (ML, AI, NLP) expertise to analyze a wide variety of data sources
- Create ML pipelines to perform imputation, debiasing, modeling, and prediction
- Perform quantitative analyses of new data products to assess their informational advantage in financial markets
- Build product collateral, such as web documentation, white papers, and presentations
Qualifications and Skills
The ideal candidate is a current rising senior pursuing a bachelor’s degree with a demonstrated aptitude for machine learning. Experience in capital markets or the investment industry is a plus, but is not required.
- Demonstrated experience in exploratory data analysis and modeling of large datasets
- Proficient in Python and related ML packages (sklearn, etc)
- Experience in advanced statistical methods and time series modelling is strongly preferred
- Experience with Databricks, Spark, Redshift, AWS and other big data and cloud technologies
- Education or experience in the capital markets or investment industry is a plus
- Hardworking, intellectually curious, and able to excel in a fast-paced, entrepreneurial environment
- Excellent written and verbal communication skills
Internship Program Requirements
- Must be a rising senior enrolled full time for the upcoming semester in an accredited college or university in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or related major and on-track to graduate
- 10 week commitment with availability to start in June
- Proactive, responsive team player who can thrive in a dynamic and changing environment
- Motivated self-starter who is results-driven
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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