Senior Equity Analyst, Alternative Data

2 weeks ago

Canada Nasdaq, Inc. Full time

Senior Equity Analyst, Alternative Data page is loaded

Senior Equity Analyst, Alternative Data Postuler locations Canada - Toronto - Ontario time type Temps plein posted on Publié il y a 7 jour(s) job requisition id R

Overview

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 in the traditional categories of data used by the financial industry: stock prices, company fundamentals, 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 predictive insights about the performance of individual companies, sectors, and the economy as a whole.

As a leading provider of Alternative Data, we deliver innovative products that power some of the most successful investment funds in the world. We welcome you to join us in our journey, as we continue to redefine the investment landscape.

The Opportunity

The Alternative Data group consists of two teams, Data Partnerships and Data Product. The Data Partnerships team scours the world for insightful data and forms partnerships to secure access to the data. The Data Product team onboards, cleans, structures, analyzes, and productizes the data into client-ready products.

The Alternative Data group is seeking a Senior Equity Analyst that will report to the Group H ead and work in close collaboration with the Partnership s and Product team s . T he y will apply their knowledge of public equities and financial markets to assess data samples from prospective partners, quantifying their information advantage and comparing/contrasting the data with existing products available in the market. Ultimately, their analysis will help to determine which partnership opportunities to pursue. Once a partnership has been formed and a data product has been created and launched , the Analyst will periodic ally study the data product to identify actionable insights and engage Sales and Marketing to socialize their findings with our customers and media partners.

The successful candidate will gain exposure to companies of every size and from all industries and geographies . The ability to r esearch different industries to become a cross-sector expert is both a key r e quirement and an immense learning oppor t u nity. They'll also have ample opportunity to exercise their autonomy and creativity, playing a key role in shaping our product pipeline .

Duties and Responsibilities

  • Work closely with our Partnerships team to assess new data partnership opportunities
  • Research each potential partner's business, improving your understanding of biases that may be inherent in their data
  • Research existing products in the market, noting any gaps that exist
  • Be creative in b rainstorm ing potential product ideas with the Product team
  • Create mock-up data products and quantify their ability to nowcast/forecast public company KPIs (ex., top-line revenue, number of subscribers, etc )
  • In conjunction with the business head, assess the potential revenue opportunity and formulate a yes/no decision for each partnership
  • Analyze our existing data products to identify compelling insights and work with Sale and Marketing to create collateral such as short presentations and whitepapers
  • Create Tableau dashboards that make it easy to surface insights from our data products in a self-service manner

Qualifications and Skills

The ideal candidate has a proven track record of ingenuity and success in public equity data analysis.

  • 3 + years experience in public equity data analysis (ex., sell-side research )
  • E xperience in python, performing exploratory data analysis with large datasets
  • Proficient in creating dashboards , presentations, and reports
  • Hardworking, intellectually curious, and able to excel in a fast-paced, entrepreneurial environment
  • Team player
  • Excellent written and verbal communication skills
  • Bachelor's degree in Mathematics /Statistics, Finance, Computer Science, Engineering or related Field.
  • CFA /FRM preferred

Benefits and Perks

  • 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
  • Education Required: Degree qualified in Computer Science, Business/Finance or related discipline, or equivalent work experience
  • Experience Required: At least 3 years

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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