Posted:
9/24/2024, 12:34:43 AM
Location(s):
Gurugram, Haryana, India ⋅ Haryana, India ⋅ Bengaluru, Karnataka, India ⋅ Hyderabad, Telangana, India ⋅ Telangana, India ⋅ Karnataka, India
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Data & Analytics
Grade Level (for internal use):
08The Role: Associate, Quantitative Analysis
Team: The Data Science and Modelling team is responsible for creating and maintaining end to end AI/ML/statistical solutions catering to multiple assets across commodity markets. The team works from across different global offices, including India, Singapore, Mexico, and US. The candidate will be joining a global team where they would be able to collaborate, architect and deepen their domain and technical knowledge using multiple disciplines of AI.
Impact:
The candidate is expected to conduct structured and unstructured data analysis and modeling for original and non-routine business problems in a timely, accurate and insightful manner and combine this analysis with their understanding of the projects at hand to provide a solution.
In this role the candidate will provide vital support in the data product development initiatives in Data Science and modelling.
The day-to-day job requires undertaking all the activities associated with these efforts including data sourcing, data collation, data analysis, model running and results collation.
The candidate will need to work independently/collaboratively under tight deadlines to consistently produce high quality work including data verification, data analysis results, presentation materials and interim deliverables, for which in all cases will have full accountability.
Daily routine would require candidate to conduct from data foundational work to a systematic data product.
Responsibilities
Delivers high quality data collation/analysis, modeling work that meets the needs and expectations of project owner.
Understand the definition of alternative data and the related insights it leads to the business opportunities.
Quality check data using internal tools and resolve data defects.
Assist in ad-hoc research activities.
Basic Qualifications
B.Tech CSE/IT or master's in data science/economics/computing or relevant disciplines
1-2 years of programming experience in R/Python
Preferably some previous relevant background/experience in financial time series data
Quantitative skills in data engineering, data science, machine learning, statistics, optimization and/or econometrics are highly desirable
The ability to analyze original, non-routine analytical/business problems in a timely and insightful manner.
Proficient in MS Excel. Familiarity with SQL/Tableau is a plus.
Ability to take initiative and self-manage time
Strong communications skills
About S&P Global Commodity Insights
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit http://www.spglobal.com/commodity-insights.
What’s In It For You?
Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
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Website: https://spglobal.com/
Headquarter Location: New York, New York, United States
Employee Count: 10001+
Year Founded: 1860
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Analytics ⋅ Business Intelligence ⋅ Credit ⋅ Enterprise Software ⋅ Finance ⋅ Financial Services ⋅ Information Services ⋅ Market Research