Hiring.Camp

Equity Research Associate

Alphasense

·

Jan 24, 2025

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Location
Remote - Canada
Workplace
Remote
Department
Financial Data
Seniority
Entry
Experience
2+ years
Education
Master
Source
Greenhouse

Description

About AlphaSense: 

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

Remote: Vancouver

About the Team:

The Research Coverage Team provides AlphaSense clients with the cleanest, richest, best structured fundamental data and models on global public companies. Firms across financial services and corporate markets globally rely on our financial model library to drive efficiency across their teams and to ground their financial analysis in sound fundamental data. By bringing financial modeling and technology together, our team makes generating independent research more efficient and helps generate higher-conviction investment ideas. We’re an energetic team with a healthy obsession with accuracy and a love of stocks and technology.

About the Role: 

As an Associate, you will be supporting our public company financial model library by updating, building, and improving three-statement financial models, and developing knowledge and expertise to support our product evolution. You will be a part of a high-performing team, and have an immediate impact on our business by contributing to our product roadmap, and dazzling our customers.

What You’ll Do: 

  • Update three-statement financial models for publicly traded companies’ earnings reports
  • Build and support the review of detailed three-statement financial models for publicly traded companies.
  • Contribute to sub-sector-specific and/or coverage wide model improvements.
  • Develop sector expertise to support the development of modeling standards, dashboards for comparative analysis, and new model features.
  • Document modeling best practices.
  • Support Analysts in providing exceptional client service to all users.
  • Conduct other ad-hoc general research and other company due diligence.
  • Participate in training new members of the Research Team.

Who You Are:
You bring 2+ years of experience in equity research or an adjacent discipline with a proven ability to build and improve three-statement financial models independently. You demonstrate initiative, sector expertise, and might be planning to pursue a CFA. You’re comfortable under pressure, excel in client service, and contribute proactively to process and product improvements.

Minimum Qualifications:

  • Able to work in the PST timezone
  • 2+ years of experience in equity research, financial modeling, or accounting
  • Strong financial modeling skills and sector understanding
  • Progress towards CFA, CPA or MBA is preferred
  • Strong Microsoft Excel skills.
  • Demonstrated ability to manage deadlines and deliver accurate outputs
  • Leadership traits and/or experience training or mentoring peers
  • Proven ability to support client service and contribute to team strategy

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range
$53,000—$62,500 CAD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Skills

ExcelFinancial ModelingCPACFA

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