AI Data Specialist at S&P Global

Cambridge, Massachusetts, United States

Apply Now

$90,000 – $125,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Financial ServicesIndustries

Requirements

3+ years of industry experience in private equity, asset management, or investment banking
Proficiency with SQL: experience using CTEs, subqueries, window functions, and complex logic to work with large and nuanced datasets
Experience working with JSON and HTML/XML
0-1 years of management or mentorship experience
Experience assigning and reviewing deliverables
Experience partnering and collaborating with product and technical teams
Innovation-oriented person who can come up with out-of-the-box solutions
Thoughtful and collaborative teammate
Highly organized and result-oriented with superior attention to detail
Measure professional success by team’s success
Extensive experience and exposure to multiple financial domains (from ideal candidate description)
Comfortable working with structured and unstructured data (preferably using Python)
Able to collaborate with colleagues across Kensho and S&P
Able to solve problems independently and as a team
Eager to learn new skills
Must be in the United States (with potential travel to NY/CAM hubs)

Responsibilities

Manage engagements with internal and external subject matter experts with Banking, investment, etc. backgrounds
Advise ML teams as a subject matter expert on various GenAI projects and workflows
Collaborate with ML teams at Kensho to plan data annotation projects: developing ontologies, drafting instructions, and establishing project timelines and milestones
Import and export data to and from annotation tools, managing data pipelines that support labeling workflows
Assist and guide offshore data labelers and sign off on quality
Create final datasets for ML teams once labeling is completed, and analyze the finalized data for trends and edge cases
Assist with training and mentoring offshore data team
Assist with ad-hoc, high-visibility data projects as needed
Secondary focus: training and assigning S&P auxiliary employees labeling projects, including distributing instruction sets, identifying and addressing edge cases, refining annotation guidelines, and pinpointing areas/cases where ML models struggle
Serve as a financial subject matter expert for multiple teams
Lead and collaborate with internal and external SMEs
Work with ML engineers to plan and map data annotation projects
Extract, transform, and load data for those projects
Work with offshore annotation team to create high quality datasets
Analyze finished datasets
Build datasets to evaluate products and systems
Evaluate model performance on real-world data
Collaborate with Subject Matter Experts

Skills

Python

ETL

Data Annotation

Machine Learning

Natural Language Processing

Financial Data Analysis

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free