Data Science Associate - Job Opportunity at Santander US Capital Markets LLC

New York, US
Full-time
Mid-level
Posted: April 2, 2025
On-site
USD 93,750 - 160,000 per year

Benefits

Competitive base salary significantly above industry average
Capital markets bonus potential
Financial services comprehensive benefits package
Career development in global banking environment

Key Responsibilities

Lead data-driven decision making through statistical analysis and machine learning applications
Drive cross-functional analytics projects from conception to implementation
Develop and validate quantitative models for investment strategies
Evaluate alternative data sources and vendors for commercial applications
Implement analytics solutions in collaboration with engineering teams
Conduct portfolio construction and risk analysis

Requirements

Education

Master's Degree in Statistics, Computer Science, Physical Sciences, Economics, or equivalent quantitative field

Experience

5+ Years Data mining/advanced analytics applied to large-scale data-intensive projects

Required Skills

Knowledge of machine learning principles Classification models expertise Time series regression knowledge Stochastic statistics proficiency SQL proficiency R or comparable programming language (Python, SAS, SPSS, MATLAB) Strong quantitative and problem solving skills Project management capabilities Communication skills for technical and non-technical audiences
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Sauge AI Market Intelligence

Industry Trends

Financial services firms are increasingly leveraging alternative data sources for investment decisions, creating high demand for data scientists who can evaluate and implement these novel data streams The convergence of traditional quantitative finance with modern machine learning techniques is reshaping investment strategies, particularly in capital markets Regulatory requirements are driving increased demand for sophisticated data validation and risk assessment capabilities

Salary Evaluation

The offered salary range of $93,750-$160,000 is competitive for a mid-level data science role in New York's financial sector, reflecting the high-value nature of capital markets applications. Top performers with strong quantitative skills can expect to reach the upper range within 2-3 years.

Role Significance

Typically part of a 5-8 person analytics team within capital markets, collaborating with larger technology and business units
Mid-level position with significant project ownership and cross-functional leadership opportunities

Key Projects

Investment strategy optimization through alternative data integration Portfolio risk modeling and assessment Automated trading system enhancement Cross-asset class analysis platforms

Success Factors

Strong foundation in both traditional statistical methods and modern machine learning techniques Ability to translate complex quantitative insights into actionable business recommendations Experience with large-scale financial data processing and analysis Understanding of capital markets and investment processes

Market Demand

Very high demand, particularly in financial centers like New York, with continued growth expected as financial institutions increase their data science capabilities

Important Skills

Critical Skills

Machine learning and statistical modeling expertise is essential for developing sophisticated investment strategies Programming skills in SQL and Python/R are crucial for handling large-scale financial data Communication skills are vital for translating complex analyses into actionable insights

Beneficial Skills

Knowledge of financial markets and investment products Experience with cloud computing platforms Familiarity with regulatory requirements in financial services

Unique Aspects

Direct involvement in investment strategy development
Exposure to cutting-edge alternative data sources
Combination of traditional quantitative finance with modern data science techniques

Career Growth

2-3 years in role before advancement, with potential fast-track for exceptional performers

Potential Next Roles

Senior Data Scientist Quantitative Research Lead Analytics Team Manager Investment Strategy Director

Company Overview

Santander US Capital Markets LLC

Santander US Capital Markets represents the American investment banking arm of Grupo Santander, one of the world's largest banking groups

Major player in global banking with strong presence in both developed and emerging markets
Strategic New York location positions the role at the heart of US financial markets
Professional environment with strong emphasis on quantitative excellence and innovation in financial technology
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