About us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data ...
About us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data ...
About us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data ...
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About us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data ...
Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack * Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning * Ability to assess ...
Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack * Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning * Ability to assess ...
Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack * Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning * Ability to assess ...
Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack * Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning * Ability to assess ...
Ravenpack information
What are the key skills and qualifications needed to thrive as a Data Analyst at RavenPack, and why are they important?
To thrive as a Data Analyst at RavenPack, you need strong analytical skills, experience in data manipulation, and a background in statistics or computer science. Proficiency with programming languages like Python or R, familiarity with SQL databases, and experience using data visualization tools such as Tableau are typically required. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and share insights with stakeholders. These competencies are essential for extracting actionable intelligence from complex datasets and driving data-driven decisions in a fast-paced, finance-focused environment.
What types of projects do data analysts at RavenPack typically work on, and how do they collaborate with other teams?
Data analysts at RavenPack often work on projects involving the processing and analysis of large volumes of unstructured data, such as news articles and financial reports, to extract actionable insights for clients in the finance industry. They collaborate closely with data scientists, software engineers, and product managers to refine data models, improve product features, and ensure data quality. Regular cross-functional meetings and agile workflows are common, allowing analysts to contribute to product development and client solutions. This collaborative environment helps analysts develop both technical and communication skills while working on impactful, real-world problems.
What is RavenPack and what do they do?
RavenPack is a company that specializes in big data analytics for financial services. They provide tools and solutions that analyze large volumes of news, social media, and other textual data to deliver actionable insights for investors and financial institutions. Their technology uses natural language processing and artificial intelligence to detect market-moving events and sentiment, helping clients make better investment decisions. RavenPack's data is often used in quantitative analysis, risk management, and algorithmic trading.
What is the difference between Ravenpack vs Data Analyst?
| Aspect | Ravenpack | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a degree in finance, economics, or data science; certifications like CFA or data analysis courses are common | Requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are advantageous |
| Work Environment | Data-driven firms, financial services, or analytics companies; often collaborative and fast-paced | Corporate offices, consulting firms, or finance departments; involves data collection, analysis, and reporting |
| Employer & Industry Usage | Used by financial firms, hedge funds, and analytics providers for real-time data insights | Employed across industries including finance, marketing, healthcare for data interpretation and decision support |
While Ravenpack specializes in real-time news analytics and financial data insights, Data Analysts focus on interpreting various data sets to inform business decisions. Both roles require strong analytical skills and familiarity with data tools, but Ravenpack is more niche-specific to financial data platforms, whereas Data Analysts have broader industry applications.
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Full-time
Medical, Retirement, PTO
Posted 29 days ago
Job description
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients-including some of the world's most successful hedge funds, banks, and asset managers-to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.
About the Role
We're seeking a Senior Account Executive to join our dynamic New York team and lead strategic sales of RavenPack's enterprise AI and SaaS solutions, including our groundbreaking Bigdata.com platform.
This role is an opportunity to take ownership of a high-impact territory, working with some of the largest and most sophisticated financial institutions in the world.
Reporting directly to the Chief Revenue Officer, you will collaborate cross-functionally with Client Success, Data Science, and Product teams to drive business outcomes.
Key Responsibilities
What You Bring
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Locations New York Remote status Hybrid
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients-including some of the world's most successful hedge funds, banks, and asset managers-to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.
About the Role
We're seeking a Senior Account Executive to join our dynamic New York team and lead strategic sales of RavenPack's enterprise AI and SaaS solutions, including our groundbreaking Bigdata.com platform.
This role is an opportunity to take ownership of a high-impact territory, working with some of the largest and most sophisticated financial institutions in the world.
Reporting directly to the Chief Revenue Officer, you will collaborate cross-functionally with Client Success, Data Science, and Product teams to drive business outcomes.
Key Responsibilities
- Enterprise Sales Execution: Drive full-cycle, consultative sales processes, from prospecting to close, targeting enterprise financial institutions across the Americas.
- Strategic Account Growth: Build and manage long-term relationships with key stakeholders across buy-side and sell-side institutions.
- Solution Selling: Understand and position complex financial SaaS and API-based offerings as integrated solutions to client problems, not just products.
- Cross-Functional Collaboration: Work closely with internal teams to align on product roadmap, feedback loops, and go-to-market strategies.
- Forecasting & Pipeline Management: Use CRM and sales tools to maintain accurate records, forecast revenue, and report on progress.
- Pricing & Negotiation: Lead pricing discussions and contract negotiations with a strategic mindset and long-term value orientation.
- Thought Leadership: Represent RavenPack at key industry events and client briefings as a trusted advisor and expert in financial AI solutions.
What You Bring
- 7-15 years of enterprise sales experience selling into financial services (asset management, hedge funds, banks).
- Proven track record of exceeding $1M+ annual quotas and successfully managing complex sales cycles (6-12+ months).
- Deep familiarity with solution selling or consultative sales models.
- Experience selling SaaS, APIs, platforms, or enterprise data solutions to technical and business decision-makers.
- Strong domain knowledge of financial markets, data infrastructure, and client workflows.
- Exceptional communication and executive presence with the ability to influence C-level stakeholders.
- Comfortable selling to both technical (e.g., CTO, engineers, product specialists, quant teams) and commercial (e.g., CIO, CFO, CEO, and Portfolio Manager) buyers.
- Bachelor's degree in Business, Finance, Computer Science, Mathematics, or related field.
- Prior experience in a fast-paced startup or scale-up environment.
- Exposure to channel partnerships or managed service provider networks.
- Advanced degree (MBA, CFA) is a plus.
- Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
- International Culture: Be part of a diverse, global organization with a truly international culture.
- Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
- Work-Life Balance: Enjoy paid vacation, flexible time-off, and a flexible work policy.
- Benefits: Access to healthcare insurance and a 401K plan.
- Hybrid work arrangement
- Equal Opportunity Employer: We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Locations New York Remote status Hybrid