Quantitative Analyst II
AffirmSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Risk ManagementIndustries
Requirements
- Advanced quantitative background (e.g., PhD, CFA, FRM, economist, statistician)
- Expertise in advanced statistical and machine learning techniques
- Experience with end-to-end analytic model development (data gathering, cleansing, model training, etc.)
- Ability to provide technical documentation
- Skills in producing collateral materials (white papers, blogs, etc.)
- Capability to train product specialists and sales teams
- Strong communication skills to interact with diverse audiences, including C-level executives, internal stakeholders, and external clients
- Ability to establish oneself as a subject matter expert and provide analytic support to clients
Responsibilities
- Develop, maintain, and enhance quantitative models for credit risk, climate risk, third-party risk, maritime, and trade analytics
- Design next-generation statistical models using advanced statistical and machine learning techniques
- Conduct end-to-end analytic model development, including data gathering, cleansing, and model training
- Provide in-depth technical support to sales teams and clients
- Engage in thought leadership and outreach activities (e.g., white papers, blogs) to incorporate external feedback and support go-to-market efforts
- Interact daily in a matrixed organization with product managers, business developers, IT, and innovators
- Influence and steer the analytic development roadmap with innovative solutions for client pain points
- Produce collateral materials to support product management and go-to-market activities
- Train product specialists and sales on product differentiation
- Provide analytic support on technical questions from current and prospective clients, incorporating feedback into models
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What kind of team will I be joining?
You'll join the Quantitative Modeling Group, an elite, global team of highly skilled individuals including PhDs, CFAs, FRMs, economists, and statisticians who use advanced machine-learning and statistical techniques.
What are the main responsibilities of this role?
Responsibilities include designing next-generation statistical models for credit risk using advanced statistical and machine learning techniques, end-to-end analytic model development, technical documentation, producing collateral materials like white papers and blogs, and training product specialists.
What skills are required for this position?
The role requires advanced statistical and machine learning techniques, end-to-end analytic model development skills including data gathering, cleansing, and model training, plus the ability to produce technical documentation and thought leadership materials.
Is this a remote position?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
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.
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