Associate Director - Analytic Risk Officer at S&P Global

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytic Risk Assessment, Data Science, Risk-Based Assessment, Methodology Validation, Model Validation, Stakeholder Management, Data Analytics, Machine Learning, Large Language Models, Agentic AI, Statistical Analysis, Data Visualization, Electronic Quality Monitoring, Root Cause Analysis, ESG Data, Energy Data

Industry

Financial Services

Description

About the Role: Grade Level (for internal use): 12 The Team: Analytic Risk & Quality (ARQ) team has a global scope and consists of experienced data scientists and analysts with substantial experience in the Capital Markets. ARQ is charged with: Providing an independent, risk-based assessment of the inherent risks of various analytic products produced by S&P Global Energy (Energy) and Sustainable1 (S1) and the robustness of the analysis to enhance analytical quality by fostering effective analytical processes and defendable results. Providing Regulators, Senior Management, Risk and Audit Committees with an independent view of analytical risks and assessment of the application of the methodology and models used to produce analytic products by conducting focused risk-based activities. The Associate Director - Analytic Risk Officer, will report to the Global Head of Analytic Risk & Quality. The Impact: Quality is crucial for ensuring customer satisfaction and retention. As the regulatory landscape in sustainability evolves, the ARQ function will be pivotal in positioning Energy and S1 for compliance with upcoming regulations. What is it for you? Collaborate with cross-functional teams across S&P Energy to drive quality initiatives. Contribute to the Sustainability and Global Energy narrative by enhancing the quality of data across S&P Energy business. Gain expertise in Energy and ESG data frameworks, metrics, and reporting. Responsibilities: Develop and execute the ARQ strategy, leveraging cutting-edge technology and data analytics to drive quality improvements. Independently validate and monitor the appropriateness of S&P Energy's and S1's analytic products and their related processes. Specific Risk Based Activities include, but are not limited to, evaluating (i) that new/revised methodologies and models are fit for purpose, (ii) the defensibility of the analyses performed, including the application of analytic judgement, (iii) the evidence of the analysis supporting them, (iv) the transparency related to the published rationales, and (iv) the appropriate use of underlying models. Managing the relationships with the first line leaders as well as serving as an ambassador of ARQ's views, positions, and messages to various stakeholders (which can include Regulators, Senior Management, SPGI Divisions and the Corporate Risk and Compliance functions). Lead/contribute to team's development and maintenance of various Analytic Platforms/visualizations, including design and implementation to further analytic capabilities and enable insights. Ensure the ongoing development and maintenance of metrics for S&P Energy and S1's portfolio. Design and implement a sophisticated electronic quality monitoring framework, utilizing data analytics and visualization tools to identify risk areas and support risk-based sampling. Report key themes, risks, and opportunities to leadership using advanced dashboards and KPIs, facilitating informed decision-making. Facilitate emerging risk identification and the development of remedies. Provide analytical insights and collaborate with the first line, on holistic risk mitigation through an integrated framework and goal alignment. Provide insights and advice on best practices and observations across the portfolio. Design and perform issue-specific tests related to various aspects of the analytical process. Prepare Risk Based Reports and materials, focusing on key systemic analytically relevant risks and trends, and assist with the preparation of Board materials as requested. Research external market data and synthesize the results to identify key trends and risks. Promote a culture of innovation and transparency around quality-related issues, encouraging creative problem-solving. Collaborate with leadership to ensure compliance with audit management action plans (MAPs) and regulatory requirements. Lead root cause analysis and technical problem-solving efforts to address quality escalations. Develop deep knowledge of ESG and Energy data sets, focusing on methodologies for data validation and quality enhancement. Partner with the Data Quality team to strengthen data integrity and optimize quality processes. What We're Looking For: Demonstrated experience working with modern AI technologies, including Machine Learning (ML) models, Large Language Models (LLMs), and Agentic AI frameworks, with the ability to design, implement, and optimize AI‑driven solutions. Bachelor's or advanced degree in engineering, computer science, data analytics, finance, or related field. 5+ years of experience in financial markets/industries, with substantial expertise in analytics, data science, or a quantitative domain. Demonstrated proficiency in technology and data analytics, including experience with electronic quality monitoring systems and statistical analysis tools (e.g., Python, R, SQL). Ability to independently validate and monitor analytic products and processes. Experience in evaluating methodologies and models for their appropriateness and defensibility. Hands-on experience working with data visualization tools such as Power BI or Tableau, as well as proficiency in Databricks for data engineering, transformation, and analytics workflows. Experience with complex financial data structures, such as those found in structured finance, can be beneficial in understanding data quality challenges. Experience with ESG and Energy data/products is highly preferred but not mandatory. Strong quality mindset with a proven track record in implementing LEAN methodologies and process improvements. Exceptional communication and stakeholder management skills, with the ability to articulate complex technical concepts clearly. About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy. What’s In It For You? Our Mission: Advancing Essential Intelligence. 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. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership 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 Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- 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: EEO.Compliance@spglobal.com 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. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), RSKMGT202.2 - Middle Professional Tier II (EEO Job Group) S&P Global delivers Essential Intelligence® that shapes 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.

Responsibilities

The Associate Director will develop and execute the Analytic Risk & Quality (ARQ) strategy, independently validating and monitoring the appropriateness of analytic products and related processes for S&P Energy and S1. Key duties include evaluating methodologies, models, defensibility of analyses, and managing relationships with first-line leaders while reporting risks to senior management.