Application Specialist, Financial Data

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Technology, Market Intelligence, AIIndustries

Requirements

Candidates should possess a client-facing professional background with a strong ability to develop rapport and maintain relationships, combined with a positive and proactive personality. A finance background is preferred, and experience with quantitative analysis for investment and valuation decisions is beneficial.

Responsibilities

The Financial Data Application Specialist will assist sales in demos and strategic trials of AlphaSense’s financial data solutions, conduct trial training calls to overcome objections, and provide advanced training, customizations, and product consultations to customers. Specialists will also drive adoption by building custom templates, identify product opportunities through customer feedback, and act as an escalation point for product and support teams, managing and resolving integration challenges. They will contribute to product direction by relaying customer insights to various teams and supporting the full integration of modeling solutions into client workflows.”} } 2024.05.16.19:33:51 UTC.

Skills

Financial Data

Technical Implementation

Sales

Customer Success

Go-to-market Strategy

Product Strategy

Client Relationship Building

Adoption

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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