Why we’re a great company to work for

Seeking Alpha is the leading online destination for engaged investors. We have an awesome product. Our crowdsourced research and cutting-edge investing tools are helping nearly 300,000 paying subscribers exceed their financial goals.

We care about work-life balance: We work primarily from home, provide lots of perks, and insist that you enjoy them.

We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training our teammates.

What we're looking for?

We are seeking individuals with extensive financial data experience specifically in the space of equities and related quantitative and qualitative research processes to join our team as a Financial Data QA Analyst. You will be responsible for:

• Designing, building, and maintaining our systematic cross-vendor data quality checks
• Providing white glove service for complex support data escalations (dummy down)
• Designing, testing, and developing QA processes for market data related tasks

• Data Quality - Responsible for identifying and rectifying data errors prior to publication by utilizing our internal cross-vendor data quality reporting processes for vendor feeds including pricing, dividends, and corporate actions. Best candidate will be able to identify data errors and escalate to 3rd party vendors in bulk on a daily basis. Additionally, they will offer strategic insight into building more efficient data checking system logic and scripts.
• Data Support - Responsible for handling financial data inquiries. This can include basic tasks like investigating a stock chart and related pricing data being incorrect to complex cases that include detailed questions around historical fundamental data statements “financial metrics/ratios”. The best candidate is expected to efficiently and relentlessly drive towards delivering the best solution and the ultimate client service. CRM experience expected, Hubspot preferred.
• Data QA - Responsible for Quality Assurance testing for market data related tasks (knowledge of JIRA preferred). The best candidate is expected to set the gold standard in QA processes and methodology, not be a “QA box checker”. Intimate knowledge of financial data is a must for this role.

• Fluent English - a must
• 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 a plus.
• Experience with one of the major financial data vendors, either as an employee or a client (S&P, Factset, Bloomberg, etc.).
• Exposure and understanding of common mapping identifiers and procedures (CUSIP, ISIN, FIGI), and basic equity screening rules.
• General understanding of Product Management principles and processes, detailed and highly organized JIRA user.
• Understands Big Picture Strategy while still being able to deliver on very detail-oriented and potentially complex data quality tasks needed.
• 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.

Working Terms:

• Monday - Friday. 11 am - 8 pm IST.
• Remote work in India