- You have genuine excitement and passion for corporate finance, capital markets, and investment research coupled with data management expertise demonstrated either in previous capacity at a buy-side or sell-side firm or you have successfully supported AI products/features/data used by investment and data analysis professionals
- You have natural enthusiasm for working at the intersection of AI, data, technology, and investment research and track record of expert-level data analysis at scale using traditional data query or generative AI tools and platforms
- You have the energy and enthusiasm to work in a high-paced, high-growth environment and you are comfortable accommodating rapidly changing business priorities
- You have excellent presentation skills with demonstrated ability to inform and influence executives and align with multiple levels of stakeholders
- You have driven successful due diligence project outcomes or run content evaluations with diverse businesses and teams across multiple locations
- You demonstrate empathic communication, with the ability to listen and identify problems in need of solutions
REQUIRED
- At least 5 years of work experience at a leading financial institution or investment research platform firm focused on the delivery or evaluation of content, features, analytics, and models for front-office investment professionals
- Proficient knowledge of contemporary market data and investment research databases, products, and workflow tools (e.g.: Fundamentals, Estimates, Transactions data, Ownership data, Market data, News, Transcripts)
- Strong understanding of the logical structure of relational and JSON databases. Demonstrated experience of running complex data queries and analyses using traditional data- query or contemporary generative AI techniques is required. Close familiarity and hands-on experience with Claude Code or similar platforms is a must
- Demonstrated ability to collaborate with a dedicated cross-functional product development or evaluation teams of engineers, content leads, and vendor management professionals
- A track record of successful collaboration and delivery with a globally distributed team is a must. Prior formal or informal team leadership experience is strongly preferred.
- Demonstrated ability to set priorities, stay focused, and meet or beat deadlines
- BSc degree or material academic background in a quantitative analysis field
- Experience in content acquisition and licensing
- Prior experience at a market intelligence or financial research SaaS start-up
- Exposure to iterative / agile development methodologies in the context of product development
- Experience working with and leading distributed teams
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
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