Senior Financial Analyst at AlphaSense

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Technology, AIIndustries

Requirements

MBA/Master’s degree in finance, or a related field. CA/CFA (all 3 levels cleared) will also be considered
Exceptional understanding of financial concepts and data
5+ years of professional experience in a highly analytical financial analyst role such as Sell-Side Research, Buy-Side Research, Investment Banking, Corporate Finance, Investor Relations or Management Consultant
3+ years of experience writing financial research reports or preparing IB pitchbooks
Demonstrated sector expertise in covering a specific domain (e.g., Oil and Gas, Banking/Financials, Technology, Healthcare)
Exceptional understanding of financial statements, valuation methodologies, market data, and regulatory filings within your covered sector
Excellent written and verbal communication skills
Ability to work in a cross-functional environment, and can communicate to both technical and non-technical stakeholders
Exceptional analytical and critical thinking skills. Ability to synthesize complex information into clear insights and recommendations
Project Management skills like problem solving, time management, prioritization, adaptability, research skills & quality Management
Proficient in workplace productivity tools such as GSuite and MS office

Responsibilities

Curate and optimize workflow prompts and inputs that are used directly by end-users in the financial sector
Take end-to-end ownership of all AI feature evaluations, leveraging your financial domain expertise to ensure the quality, relevance, and fidelity of all outputs
Develop and refine the evaluation methodology and internal quality benchmarks, specifically tailored to financial data and sector-specific

Skills

Key technologies and capabilities for this role

Financial AnalysisSell-Side ResearchBuy-Side ResearchInvestment BankingCorporate FinanceInvestor RelationsGenerative AIMarket IntelligenceData AnnotationSector Expertise

Questions & Answers

Common questions about this position

What qualifications are required for the Senior Financial Analyst role?

Candidates need an MBA/Master’s degree in finance or related field (CA/CFA also considered), 5+ years in analytical financial roles like Sell-Side/Buy-Side Research or Investment Banking, 3+ years writing financial research reports or IB pitchbooks, and demonstrated sector expertise in areas like Oil & Gas, Banking, Tech, or Healthcare.

What kind of experience is ideal for this position?

Ideal candidates come from Sell-Side Research, Buy-Side Research, Investment Banking, Corporate Finance, or Investor Relations with deep sector expertise and experience producing high-quality research reports; this is not an accounting or routine financial reporting role.

What is the salary for the Senior Financial Analyst position?

This information is not specified in the job description.

Is this role remote or office-based?

This information is not specified in the job description.

What does the team structure look like for this role?

You will join a team of financial analysts and data annotation specialists, collaborating directly with AI researchers, software experts, and product managers to bridge financial domain knowledge with engineering teams.

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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