WHAT’S IN IT FOR YOU:

This role will support key activities and will have responsibilities such as:
Lead the Commodity Insights division to develop a Model Governance and Model Risk framework for S&P Global that can be scaled across the Enterprise
Appropriately scaling the build out of model governance principles that fosters a more robust modeling environment
Design and implement a framework for quality measures and controls on End user computing models -EUC’s within our price assessment business that can be built out within our research and analytics business
Coordinating across various teams, including IT, modeling, and analytics, to support timely and effective implementation of remediation plans
Supporting model review analysts and pricing quality team in successful identification of risk and scalable remediation plans emanating from the model reviews and review of price assessments
Ensuring that the team is on time with key deliverables related to the model governance framework & pricing quality reviews
Conducting analytical deep dives on models alongside model review analysts that identify risk within the existing modeling environment and mitigate that risk through scalable and enforceable remediation plans
Demonstrate ability of working in an ever-changing environment utilizing AI tools to reduce risk and improve efficiency along with understanding the risks these tools represent
Applying advanced statistical knowledge and programming skills to identify areas of key risk within model ecosystem
Communicating review findings and remediation plans with senior leadership, and escalating where needed with senior leadership
Linking known risks to existing ERM taxonomy for more informed decisions at the divisional level
Utilizing project management skills to ensure key initiatives and deadlines are met in a timely manner and to a high quality
Proactively flagging obstacles and risks to senior leadership for acceptable resolution, thereby ensuring a high quality of delivery
Collaborating with colleagues within different divisions to integrate and centralize all modeling activity within division
Developing a firmer understanding of commodities markets through analytical deep dives and leveraging existing expertise across various Commodity Insights teams to foster “effective challenge” of models
Leading 2 teams of quantitative and analytical professionals in model governance and pricing quality

REQUIRED QUALIFICATIONS:

Undergraduate degree required
Quantitative mindset with a strong knowledge of advanced statistics, mathematics, econometrics, and programming, particularly Python, Matlab, SQL, Eviews, R, VBA and C++
Understanding about model risk and other regulatory standards, such as the Federal Reserve Board’s SR11-7, or other relevant standards
10+ years’ experience in application of model risk, or identification and application of other risk theorems
Proactive in the identification of model risk items to senior leadership and in execution of key controls
Ability to communicate effectively and clearly, both written and verbally, is essential given stakeholders that will be receiving and acting upon model review findings
Demonstrate project management skills in the form of strong communication, planning and time management
Able to lead with empathy and demonstrates a strong value towards teamwork
Ability to provide clear instruction and manage various workflows and personalities for strong team cohesion and a high quality of work
Organized with effective time management skills to ensure multiple streams of work are completed on time and to a high standard
Strong interpersonal skills and ability to work with colleagues across a wide range of expertise and backgrounds. Building relationships is essential in this role.
Foundational understanding of commodities markets and its drivers, as well as the identification of risk and application of mitigation
Self-motivated with an eagerness to build upon this foundation knowledge through independent learning and interactions with experienced colleagues
Strong lean / agile and curios mindset

PREFERRED QUALIFICATIONS:

MSc degree preferred, or PhD in advanced statistics, econometrics, or mathematics
Experience working within an End-user computing (EUC) environment
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $102,000 to $155,888. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here .

RIGHT TO WORK REQUIREMENTS:

This role is limited to persons with indefinite right to work in the United States.
(If US based applicant). UK applicants must possess the right to work in the UK.
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 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.

ABOUT THE ROLE:

Grade Level (for internal use): 12
The Head of Quality and Model Governance company plays a crucial role in ensuring the integrity and reliability of models and analytics processes.

THE ROLE:

This position is responsible for establishing and maintaining robust governance frameworks that will oversee the development, validation, and deployment of data models. By embedding quality control measures, you will help mitigate risks associated with inaccuracies and model failures, thereby enhancing decision-making processes. Additionally, your efforts in promoting best practices and continuous improvement in pricing and research / analytics contribute to the overall efficiency and our ability to deliver against our strategic objectives facing off against Operating Committee members to escalate risks along with implementing and driving change.

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.