Model Review Analyst

hace 6 meses

Buenos Aires, Argentina S&P Global A tiempo completo

**About the Role**:
**Grade Level (for internal use)**: 09

**The Team**:
**Responsibilities and Impact**:
Conducting analytical deep dives on models that identify risk within the existing modeling environment and mitigate that risk through scalable and enforceable remediation plans
Linking known risks to existing ERM taxonomy for more informed decisions at the divisional level
Communicating review findings and remediation plans with senior leadership, and escalating where needed
Coordinating across various teams, including IT, modeling, and analytics, to support timely and effective implementation of remediation plans
Supporting the build out of model governance principles that fosters a more robust modeling environment
Collaborating with colleagues within different divisions to integrate and centralize all modeling activity within division
Developing a firmer understanding of energy markets through analytical deep dives and leveraging existing expertise across various Commodity Insights teams to foster “effective challenge” of models

**Responsibilities**:
Delivering model reviews under the banners of “Conceptual Soundness” and “Completeness & Accuracy of Code”:
“Conceptual Soundness” examines
the documentation and methodology
model assumptions
context
limitations and/or violations
modeling concepts and comparisons to alternative theories/paradigms
qualitative & expert judgement; and
the choice of variables amongst other considerations.
“Completeness & Accuracy of Code” looks at
applicable standards such as the FAST standard for spreadsheets and other structured programming standards for programming codes such as Matlab or C++ for example
algorithmic implementation and replicability
formulae and any automated processes
User Acceptance Testing
code review; and
model and algorithmic variations (e.g. the choice from a plethora of numerical techniques).

**What We’re Looking For**:
**Basic Required Qualifications**:
Undergraduate degree required
Professional proficiency in English
Quantitative mindset with a strong knowledge of advanced statistics, mathematics, econometrics, and programming, particularly Python, Matlab, SQL, and C++
Firm understanding about model risk and other regulatory standards, such as the Federal Reserve Board’s SR11-7, or other relevant standards
Proactive in the identification of model risk items to senior leadership and in the completion of tasks
Ability to communicate effectively, both written and verbally, is essential given stakeholders that will be receiving and acting upon model review findings
Strong interpersonal skills and ability to work with colleagues across a wide range of expertise and backgrounds. Building relationships is essential in this role.
Self-motivated with an eagerness to build upon this foundation knowledge through independent learning and interactions with experienced colleagues
Organized with effective time management skills to ensure multiple streams of work are completed on time and to a high standard
Strong lean / agile mindset

**Additional Preferred Qualifications**:
MSc degree preferred, or PhD in advanced statistics, econometrics, or mathematics

**Please submit your resume in English. The recruiting process will take place in English.**

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.

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 Essentia

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