Market Data Analyst at Seeking Alpha

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Data Analysis, Quality Assurance, SQL, Python, Corporate Actions, JIRA, API Integration, Data Pipelines, Equities Data, Financial Modeling, Product Management Principles, Problem Solving

Industry

technology;Information and Internet

Description

Join a Company That Invests in You Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference. Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals. What We're Looking For Seeking Alpha is looking for a Market Data Analyst to join our dynamic Data Team. In this role, you will be responsible for designing, building, and maintaining cross-vendor data through systematic quality checks, data pipelines, and exploring new data opportunities, all while ensuring the highest standards of accuracy for our platform. We need a high-ownership professional who is deeply inquisitive and learns fast enough to master our complex back-end systems. You must be highly familiar with corporate actions (dividends, splits, earnings, etc.) and their impact on market data. If you have extensive financial data experience, love driving projects independently with minimal handholding, and thrive on optimizing data infrastructure, we want to hear from you. What You'll Do Data QA Methodology: Drive Quality Assurance testing for market data tasks. Set the gold standard in QA processes and methodology, moving far beyond a "box-checking" approach to ensure absolute data integrity. Advanced Data Support: Provide white-glove service for complex support data escalations. Handle financial data inquiries ranging from basic stock chart investigations to complex cases involving detailed questions around historical fundamental data statements and financial metrics/ratios. Cross-Functional Collaboration: Partner with Product Management and engineering teams using JIRA to track, prioritize, and independently solve a significant number of outstanding data errors, driving cases and projects to efficient conclusions. Requirements 5-7 years of working experience within the financial industry, with a focus on Equities data including Fundamentals, Estimates, Market Data, etc. Highly experienced in designing and developing QA processes for financial data. General exposure and interest in quantitative and systematic financial modeling. Technical ability to work with Data Feed and API products, including working SQL query knowledge and data transformation scripting in Python is a plus. Experience with one of the major financial data vendors, either as an employee or a client (S&P, Factset, Bloomberg, etc.). General understanding of Product Management principles and processes, and experience as a detailed and highly organized JIRA user. Ability to understand Big Picture Strategy while still being able to deliver on very detail-oriented and potentially complex data quality tasks. Excellent problem-solving abilities and a customer-centric mindset – you love to give good service to our internal and external customers. Able to prioritize and solve a significant number of outstanding data errors independently and drive cases and projects to conclusions efficiently across teams. Fluent English - a must. Working Terms Location: Remote work from India. Hours: Monday – Friday, 11:00 AM – 8:00 PM IST.

Responsibilities

Design, build, and maintain cross-vendor market data pipelines while ensuring high accuracy through systematic quality checks. Provide advanced support for complex financial data escalations and collaborate with product and engineering teams to resolve data errors.