Lead Quantitative Analytics Strategist

Jobtailor; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in New York is seeking a quantitative analyst to conduct in-depth data analysis, develop models, and translate findings into actionable business insights.

The role requires advanced skills in statistics, machine learning, and data engineering, with experience in SQL/NoSQL, Python or R, and cloud-based computing. You will collaborate with business partners to address banking operations and risk management needs.

Qualifications

• Bachelor’s degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or another quantitative discipline
• Minimum of 2 years of relevant experience, or minimum of 1 year of experience with a Master’s or PhD
• Understanding of data structures and transformations
• Ability to identify and capture information needed for business needs or analysis
• Knowledge of data controls, hypothesis testing, and root-cause analysis
• Advanced Microsoft Office Suite skills
• SQL/NoSQL knowledge
• Knowledge of relational data structures
• Experience selecting and retrieving structured and unstructured data, including archival and ETL
• Database knowledge
• Advanced Python, R, or SAS skills
• Efficient coding and strong code controls
• Ability to translate code into high-level commentary
• Understanding of cloud-based and distributed computing
• Understanding of model use, requirements, implementation needs, and Model Risk Management foundations
• Ability to test for model deterioration and model health
• Understanding of machine-learning fundamentals and statistical measurements used in modeling frameworks
• Ability to produce and identify information through statistical analysis
• Ability to explain model insights to peers and the analytics community
• Ability to identify the preferred approach for a problem statement
• Solid writing and presentation skills
• Understanding of business partner strategy and banking operations
• Ability to analyze and recommend solutions to moderately complex problems

Responsibilities

• Conduct quantitative analysis, including hypothesis testing and root-cause analysis, on large datasets with increasing autonomy
• Identify information needed for analysis and business questions
• Create data structures and transformations for group analysis
• Develop, maintain, and anticipate implementation considerations for statistical and machine-learning models
• Ensure models address the appropriate business need
• Select the appropriate analytical approach for each problem statement
• Anticipate business needs and continuously improve models and processes
• Translate data into insights and communicate findings to peers and the analytics community
• Support working groups and collaborate with business partners

Skills

Quantitative Analysis

Statistical Modeling

Machine Learning

Hypothesis Testing

Root-Cause Analysis

Education

Bachelor’s degree in quantitative field

Master’s or PhD preferred

Tools

Python

R

SAS

SQL/NoSQL

ETL

Cloud Computing

Distributed Computing

Job description

Jobtailor in New York is seeking a quantitative analyst to conduct in-depth data analysis, develop models, and translate findings into actionable business insights.

The role requires advanced skills in statistics, machine learning, and data engineering, with experience in SQL/NoSQL, Python or R, and cloud-based computing. You will collaborate with business partners to address banking operations and risk management needs.