Technology and Data Analyst (Ratings Risk Review)

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • S&P Global
  • 21 Oct 18

Technology and Data Analyst (Ratings Risk Review)

JobDescription :

The Role:

The role of the Technology and Data Analyst is to support the analytical activities of the Ratings Risk Review (RRR) organization and specifically the Review Analytics function. The position is designed to provide insightful data, analysis and research to Review Officers and to senior management. In addition, the Analyst will participate in Sector Reviews and Targeted Reviews, as assigned.

The Responsibilities:

The primary responsibilities of the role relate to RRR's analytical tools and reporting and include:

  • Maintaining and enhancing RRR's data, reporting and systems infrastructure as defined by the business' needs.
  • Developing logic for generating a variety of metrics and preparing and executing data and logic validation exercises.
  • Liaising with data support groups to access and incorporate relevant data.
  • Gathering data, reporting and analytical requirements from various constituencies, designing relevant reports and actively seeking and incorporating feedback on report design.
  • Developing and identifying needed changes and innovations to foster effective RRR review methods and analytical deliberations. Helps identify new metrics.
  • Working with Review Officers in establishing reporting on Review results and key themes.
In addition, the Analyst will participate as a team member on Sector/Targeted Reviews and provide analytic support for monitoring activities by:
  • Conducting data analysis to evaluate a variety of rating performance measures and develop key benchmarks for monitoring.
  • Identifying performance anomalies, researching causalities, making recommendations, and presenting preliminary findings to the Review Officer.
  • Researching external market data and synthesizing the results in order to identify key credit trends and Sector risks.
  • Promoting consistent use of RRR processes during Reviews.

  • Bachelor degree is required; a graduate degree or CFA is a plus
  • Proficiency with Access/Excel required
  • Proficiency in SQL/VBA
  • Proficiency in statistical principles and their application required
  • Proficient knowledge and experience in various technological advancements, e.g. Blue Prism, Robotic Process Automation, Natural Language Processing, Machine Learning, Python, QlikView, Tableau etc.
  • Practical experience designing and developing analytically-based applications/tools that are intuitive and applicable across RRR Sectors.
  • Experience in data mining, data warehousing, and data mapping
  • Working knowledge of financial markets/principles/instruments and credit risk
  • 4+ years work experience in financial services industry
  • Detail oriented and well-organized
  • Ability to manage competing priorities and manage one's own time effectively to meet deadlines
  • Strong verbal and written communications skills are essential
  • Ability to analyze and solve non-routine problems in a timely and insightful manner
  • Must be able to work effectively in a team-oriented, global, and multi-cultural environment
  • Diligent and intellectually curious self-starter with a strong work ethic and a drive to succeed