Data Analyst

The Team: The current opening is with S&Ps Private Markets Cluster that publishes Private Markets related information. The Lead Analyst serves as S&Ps in-house expert and will gain in-depth exposure on capturing equity & debt rounds of funding data across alternate asset classes, while having frequent interaction with the team globally to learn the industry dynamics related to detailed attributes of rounds of funding with a passion to create a collaborative work culture.

The Impact: The Private Market Rounds of Funding team is a global, diverse, and cohesive in nature, committed to S&P clients and data quality The group is dedicated to the 3Es Education on the round of funding industry, Encouragement of creativity & idea sharing, and Empowerment for long-term career success We provide you with fast paced work environment, where we hear our peoples voice, and value their performance. Ultimately, your work will have a lasting impact on our organization's ability to navigate the complexities of the capturing equity and debt rounds of funding across alternate asset classes and achieve sustainable growth.

The Career Opportunity:Our company prides itself in being an equal opportunity employer. We set high standards and value accountability for all. At the same time, we seek to identify and reward extraordinary performance with growth opportunities in more specialized roles and help employees to give out their full potential to the team.

What were looking for

Responsibilities:

• Data Profiling and Collection: Identify and compile equity & debt round of funding deals across alternate asset classes from multiple sources, including annual & quarterly filings, stock exchange reports, press releases, and company websites.
• Comparative Analysis: Analyse and compare annual & quarterly filings to extract data, utilizing technology to enhance efficiency in the extraction process.
• Market Research: Investigate market trends, regulatory shifts, and economic factors impacting the equity & debt markets for rounds of funding across alternate asset classes.
• Quality Enhancement Initiatives: Lead or contribute to initiatives focused on improving quality by implementing systematic checks at both individual and team levels.
• LEAN Methodology Implementation: Apply a LEAN approach to identify and execute automation and efficiency improvements within processes.
• Process and Data Gap Analysis: Proactively detect gaps in processes, guidelines, and data collection methods. Offer innovative solutions and collaborate with relevant teams to enhance data accuracy and product offerings.
• Governance Model Development: Design and implement governance frameworks for workflows, utilizing SQL and Excel-based reports to ensure adherence to Standard Operating Procedures (SOPs).
• Source Identification and Enhancement: Discover new information sources and assist in optimizing data collection processes to improve overall coverage and reliability.

Basic Qualifications:

• MBA, MCOM in Finance, or an equivalent degree with a strong academic background.
• 0-3 years of professional experience in the financial services industry, with at least 2 years focused on alternative asset classes (e.g., Corporate Bonds, Promissory Notes).
• Strong research, analytical, and problem-solving abilities, with a demonstrated ability to take initiative and think resourcefully.
• In-depth understanding of corporate finance, capital markets, and valuation methodologies, along with comprehensive knowledge of loans, credit spreads, and reference rates.
• Excellent verbal and written communication skills.
• Proven ability to handle multiple projects simultaneously while ensuring timely completion.
• Proficiency in MS Office, particularly advanced Excel, and familiarity with S&P products such as Capital IQ Pro, Capital IQ, and Excel plug-ins.
• Flexibility to work in rotational shifts.

Preferred Qualifications:

• Advanced knowledge of SQL and Excel is an added advantage.
• Experience with visualization tools such as Tableau or Power BI.
• Background in LEAN and Automation projects is a plus.
• Awareness of AI tools and knowledge of prompt engineering.