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Equity Research Associate

Job in New York City, Richmond County, New York, USA
Listing for: M Science
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Title:

Equity Research Associate

Location:

New York, NY

About M Science:

M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. M Science is revolutionizing research, discovering new data sets, and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions.

We combine the best of finance, data, and technology to create a truly unique value proposition for both financial services firms and major corporations.

Job Description:

M Science is looking for an Equity Research Associate to assist in leading a data-driven research approach to covering companies across various sectors/industries. The position will report into one of our Senior Analysts responsible for generating and publishing investment research. The responsibilities for this role include using proprietary data sets to build financial and statistical models, perform data analysis, write reports, update marketing materials, and service client requests.

The individual should be proficient with Excel, mathematical modeling, and have a basic understanding of financial statements and accounting.

Experience with Python, SQL, or R required. The individual should also be an effective written and verbal communicator. Additionally, the candidate must be self-motivated, detail-oriented, and a creative thinker who has a strong interest in the intersection of "alternative data," investment research, and financial markets.

Responsibilities:

* Development and deployment of statistical models for estimation and prediction of corporate performance across various sectors.

* Identify and execute creative ways to answer key industry questions using our proprietary data and insights.

* Gather and analyze data from a variety of internal and external resources, including, but not limited to: proprietary datasets; company documents and materials; SEC/regulatory filings such as annual reports and 10

Ks; industry publications; and online data services.

* Write, edit, and publish equity research reports incorporating insights derived from financial and statistical models.

* Vet new and unique data sets for relevancy to continually improve and broaden our scope and accuracy.

* Perform ad hoc analyses in response to client requests.

* Support the sales process by developing analyses for sales pitches and press releases.

Skills and

Qualifications:

* Functional understanding of data analysis using Python, SQL, Tableau is a must.

* Ability to identify and work with strategic data partners.

* Responsible for forecasting KPIs and identifying key business/industry trends based on use of alternative data.

* Experience working with and analyzing large data sets and in developing actionable intelligence from the data.

* Degree from a top university with a consistent record of academic excellence, preferably in computer science, statistics, economics, mathematics, engineering, finance or other program that is technical and quantitative in nature.

Primary

Location:

New York, NY

Salary Range: $80,000-$110,000 USD/Annual

The salary offered will take into consideration an individual's experience level and qualifications. In addition to salary, M Science offers, for eligible employees, an annual discretionary incentive bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, disability insurance; and wellness programs. M Science also offers paid time off packages that include planned time off (vacation), unplanned time off (sick leave), paid holidays and paid parental leave.
Position Requirements
10+ Years work experience
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