Data Science Associate - Nasdaq Private Market : Job Details

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Nasdaq Private Market provided pay range

This range is provided by Nasdaq Private Market. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $160,000.00/yr

Additional compensation types

Annual Bonus

Chief People Officer > Global People Partner, powering business results as a change leader and owner of scalable people and organizational strategies

Nasdaq Private Market ( NPM ), an independent, private company, is the premier provider of secondary liquidity solutions for private securities and offers a marketplace to provide liquidity to individual private company shareholders. NPM provides innovative, end-to-end solutions to enable seamless transactions for private companies, private equity and other private assets. NPM operates in a fast-paced fintech environment that is constantly evolving.

Job Overview: Nasdaq Private Market is seeking a Data Science Associate to join our team and contribute to the development of our data products, namely building pricing tools for illiquid assets. This role involves analyzing orders, closed trades, and other predictive factors to refine and enhance pricing models and volatility algorithms for the private market.

Key Responsibilities:

Develop and implement statistical models and regression techniques to predict and analyze pricing dynamics for private company shares.

Work closely with data team to gather, clean, and interpret large datasets related to private market transactions.

Continuously improve existing algorithms by integrating advanced analytical techniques and conducting rigorous testing and validation.

Collaborate with technology teams to implement models in production environments, ensuring accuracy and efficiency in real-time financial systems.

Document analytical methodologies and results, providing insights and recommendations to senior stakeholders for strategic decision-making.

Qualifications:

Master's degree in engineering disciplines such as finance, systems, operations or controls.

5-7 years of professional experience in a data science capacity, preferably within financial markets or economics.

Strong theoretical and practical knowledge of classical data science methodologies, including regressions, statistical modeling, hypothesis testing, and econometrics.

Proven ability in using Python for data analysis and model development.

Experience designing algorithms for pricing and volatility in markets with complex and noisy data sets.

Strong problem-solving skills and ability to work in a fast-paced, evolving environment.

Preferred Skills:

Experience with econometric approaches for dealing with noisy or incomplete data is highly desirable.

Experience with MATLAB or other scientific computing software is a plus but not required.

Experience with AWS Cloud technologies.

Why Join Us? At Nasdaq Private Market, you will be part of a team that is at the forefront of innovation in financial technology. You will have the opportunity to work on groundbreaking projects, directly impacting the landscape of private market trading. We offer a competitive salary, comprehensive benefits, and a dynamic work environment in the heart of NYC.

Application Process: Interested candidates should submit a resume and a cover letter.

Seniority level

Associate

Employment type

Full-time

Job function

Analyst, Engineering, and Science

Industries

Financial Services and Venture Capital and Private Equity Principals

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