About the Role:
Grade Level (for internal use):
11
About the Role:
The Team:
The S&P Global Advanced Analytics & Automation: Data Engineering team combines automation, machine learning, and data engineering to improve the delivery of Ratings data & content to our analysts and customers. The team sits within the organizations Ratings Technology and works in close partnership with all teams throughout the organization.
Responsibilities and Impact:
You will be a key member of the S&P Global Ratings Data Engineering team, playing a key role in developing solutions for the company. You will collaborate closely within Advanced Analytics & Automation to bring current high-profile initiatives to production; including but not limited to: Generative AI, Auto Document Tagging, Unstructured Data Extraction, ML/LLM Driven Extraction. You will work with technology, business, and operations teams in this role, driving and executing on automation improvement opportunities to expand our capabilities around making our data value chain processes more efficient.
You will be a part of key transformation projects aiming to streamline and design automation utilizing Python and key technologies to enhance our data processes. In doing so, you will build relationships across the division to generate and unlock new and existing data for content delivery through technological advancements using intelligent automation, data science, and coding design principles.
• Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes through automation utilizing Python and/or a key technology
• Design solutions and develop automation capabilities, such as sourcing, collection, ingestion, extraction, transformation, translation, linking, chunking, feature engineering, and tagging utilizing modern and best in class techniques
• Mentor team members on coding best practices
• Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
• Develop skills for ‘listening to learn’ with the express goal of understanding processes and associated problems which enable efficient automated solutions
• Be a strong partner with all the teams and stakeholders your projects and work involve
• Monitor market trends in the data science/automation space identifying and onboarding new technologies and solutions to address business needs
• Demonstrate innovation, customer focus, and experimentation mindsets
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 $90,000 to $200,000. 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.
What We’re Looking For:
Basic Required Qualifications:
• 5+ years of relevant experience
• Strong experience: Python
• Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps
• Experience building API's: Flask, FastAPI
• Strong solution design. Able to receive a problem statement, assess and analyze for scope, and create a robust application
• Proven track record as a high-performing practitioner and strong executor, particularly in content-related domain
• Strong communication skills. This includes translating technical details into concepts for non-technical audiences
• Strong problem-solving skills. Able to quickly identify and understand issues and drive towards effective resolution
• Bachelor's degree or equivalent experience required; advanced degree preferred
Additional Preferred Qualifications:
• Strong domain knowledge & content expertise within Credit Rating Agencies is a significant plus
• Ability to quickly build credibility and relationships across multiple global teams
• Ability to work effectively within and across teams, foster collaboration
• Aptitude to communicate and deliver on projects, strong prioritization, and organization skills
• Experience as part of a team that leverages Scaled Agile Framework, SAFe, 6.0, certification is a plus
• Strong familiarity with latest technologies to accelerate data operations
Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States or Canada.
Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and ta
Location: Denver, CO
Posted: Oct. 18, 2024, 8:14 p.m.
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