NASDAQ

Nasdaq's Alternative Data group specializes in creating unique and insightful data products from non-traditional data sources.

Well-known examples of Alternative Data include sentiment measures, real-time tracking of vehicles via GPS transponders, satellite monitoring of industrial facilities, and consumer insights gleaned from anonymized credit card transactions. These datasets are often considered “alternative” because they do not fall into the traditional categories of data used by the financial industry: stock prices, company fundamentals, options and futures, and so forth. Their importance in the financial markets is increasing rapidly as hedge funds and active asset managers are eager for data that offers a unique source of alpha that can be additive to their investment process.

As a leading provider of Alternative Data, we deliver innovative products that empower many of the world’s most sophisticated and successful investment funds to outperform.

The Opportunity

The Alternative Data group is currently seeking a Senior Investment Data Analyst to join our team. The successful candidate will engage in the research and development of innovative data products that produce quantitatively measurable market insights. Note that this is an applied role with the vast majority of the individual's time spent writing code, analyzing data, and developing data products.

The Role

• 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
• Work closely with our Sales and Marketing teams to bring new products to market
• Interact directly with clients to answer technical questions about your products

Qualifications and Skills

The ideal candidate is an excellent financial analyst and researcher with experience in the capital markets or financial services industry.

• 4+ years experience in data analysis/engineering/science in the capital markets or financial services industry
• Applied knowledge of financial analysis, statistics, and modelling
• Demonstrated experience in exploratory data analysis/mining with large datasets
• Proficient in Python and SQL
• Experience in NLP/ML/AI is preferred
• Prior experience with Databricks, Spark, Redshift, AWS and other big data and cloud technologies is a plus
• Experience with product development/management is a plus
• Hardworking, intellectually curious, and able to excel in a fast-paced, entrepreneurial environment
• Excellent written and verbal communication skills
• CFA, FRM, or other similar designation preferred.
• An undergraduate degree in Mathematics/Statistics, Finance, Computer Science, Engineering or related Field is required. Masters preferred.

We offer:

• A competitive salary and incentives
• Exciting and meaningful problems to work on
• Colleagues who are smart, motivated, hardworking and a pleasure to work with
• Health benefits for yourself and your family
• Your choice of hardware/software setup
• A flexible, hybrid work schedule
• A beautiful, newly renovated downtown office filled with sunlight and perks

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.