Analyst, Quantitative Analysis

Key Skills

AWS, Big Data Technology, Data Engineering, Data Mining, Data science techniques, Data Visualization, Docker, Econometrics, Effective communication skills, Machine learning techniques, PySpark, Python Programming, Quantitative models, R Programming, RDBMS, SAS, SPARK Programming, SPSS Statistics, SQL, Statistics

Job Description

Position Summary

The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources.

Duties and responsibilities

• Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon/Ahmedabad to develop/deploy new products
• Work as an Individual Contributor and should be able to manage a team as well
• Participate in complex analytical projects and apply data engineering techniques to support new or existing data products
• Support the team or management by producing quick-turnaround analysis, model development and quality assurance for product development, consulting projects, and client presentations
• Gather knowledge about the Maritime industry and its interrelationship with various economic and policy decision
• Work closely with the research team and product management team to take their inputs and develop a product
• Mentor team members on various algorithms, tools and techniques in the world of data science

Business competencies

Requirements:

• 6- 9 years of industrial/research experience in a Data Science/Engineering Team
• 2+ years of experience in working in time series forecasting
• Experience in working with AWS is good to have
• 2+ years of experience working with Big Data tools (Spark, PySpark, Databricks) is good to have
• Experience in creating docker containers is preferred
• Experience working on end-to-end analytics project from requirements analysis till deployment of project
• Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
• Knowledge of RDBMS concepts and experience working with SQL
• Understanding of data visualization principles and experience with data visualization tools such as Tableau
• Master’s degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science)
• In-depth knowledge of univariate and multivariate forecasting techniques and good knowledge on implementing forecasting packages in R and Python
• Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining

Beneficial:

• Experience working with geo-spatial data and/or unstructured data at scale
• Experience in other statistical programming languages like SPSS, SAS, Octave, Eviews
• Work experience in US, UK or Europe
• Experience in working in Maritime Industry

Personal competencies

• Good logical thinking and problem-solving skills
• Good communication skills and ability to confidently present technical solutions to stakeholders
• Great teamwork and ability to connect with people and build strong professional relationship

About Company Statement:

S&P Global delivers essential intelligence that powers decision making. We provide the world’s

leading organizations with the right data, connected technologies and expertise they need to move

ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments

and individuals with the knowledge to adapt to a changing economic landscape.

• S&P Global Market Intelligence partners with customers to broaden their perspectives and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work.
• S&P Global Ratings offers critical insights for credit, risk and sustainable finance solutions that are essential to translating complexity into clarity, so market participants can uncover opportunities.
• S&P Global Commodity Insights enables organizations to create long-term, sustainable value with data and insights for a complete view of the global energy and commodities markets.
• S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility.
• S&P Dow Jones Indices provides iconic and innovative index solutions, bringing transparency to global capital markets.