Client Quantitative Analyst I

Jobtailor; Town of Florida (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking an analytics professional in New York to support data-driven initiatives within a regulated financial context. You will extract and blend client and performance data using SQL, Python, SAS, and Spark, then transform, validate, and model data across multiple sources.

You will deliver quantitative analyses, patterns, and dashboards that inform business decisions and strategy, while ensuring governance and quality standards are met.

Qualifications

• 2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field.
• Experience using SQL, Python, and AI coding agents.
• Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop.
• Strong analytical and problem-solving skills.
• Strong written, verbal, and presentation skills.
• Ability to communicate complex analytical concepts to technical and non-technical audiences.
• Ability to collaborate with business partners, analysts, and technology teams in a fast-paced, highly regulated environment.
• Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence (desired).
• Broad understanding of financial products and highly regulated initiatives within a large, complex financial institution (desired).
• Experience gathering, documenting, and communicating business requirements (desired).
• Effective prioritization, time management, and project management skills (desired).
• Commitment to continuous learning and innovative problem-solving (desired).

Responsibilities

• Support analytical work efforts and projects within a line of business or business discipline.
• Extract client and performance data using SQL, SAS, Python, Spark/Scala, and database systems.
• Integrate, transform, prepare, validate, and manage data from multiple internal and external sources.
• Perform quantitative analysis on customer, transaction, client, and performance data.
• Identify trends, answer business questions, and deliver actionable insights for business partners and leaders.
• Research data sources and execute established analytical methodologies according to requirements and timelines.
• Communicate complex findings and recommendations through presentations, reports, dashboards, and business communications.
• Perform quality assurance and validation checks, escalating data inconsistencies and issues.
• Follow governance, documentation, workflow, quality-control, auditability, business continuity, and regulatory compliance standards.
• Collaborate with business stakeholders, analysts, technology teams, product owners, and engineering teams

Skills

SQL

Python

Data Integration

Quantitative Analysis

Machine Learning

Education

Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline

Tools

SAS

Spark

Hadoop

Dashboards

Reports

AI Coding Agents

Database Systems

Job description

• Support analytical work efforts and projects within a line of business or business discipline
• Extract client and performance data using SQL, SAS, Python, Spark/Scala, and database systems
• Integrate, transform, prepare, validate, and manage data from multiple internal and external sources
• Perform quantitative analysis on customer, transaction, client, and performance data
• Identify trends, answer business questions, and deliver actionable insights for business partners and leaders
• Research data sources and execute established analytical methodologies according to requirements and timelines
• Communicate complex findings and recommendations through presentations, reports, dashboards, and business communications
• Perform quality assurance and validation checks, escalating data inconsistencies and issues
• Follow governance, documentation, workflow, quality-control, auditability, business continuity, and regulatory compliance standards
• Collaborate with business stakeholders, analysts, technology teams, product owners, and engineering teams

Requirements

• 2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field
• Experience using SQL, Python, and AI coding agents
• Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop
• Strong analytical and problem-solving skills
• Strong written, verbal, and presentation skills
• Ability to communicate complex analytical concepts to technical and non-technical audiences
• Ability to collaborate with business partners, analysts, and technology teams in a fast-paced, highly regulated environment
• Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline, or equivalent experience applying data, analytics, and quantitative problem-solving skills (desired)
• Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence (desired)
• Broad understanding of financial products and highly regulated initiatives within a large, complex financial institution (desired)
• Experience gathering, documenting, and communicating business requirements (desired)
• Effective prioritization, time management, and project management skills (desired)
• Commitment to continuous learning and innovative problem-solving (desired)

Core Competencies

Demonstrates expertise in data extraction, integration, and analysis using SQL, Python, and advanced analytical techniques. Capable of delivering actionable insights and communicating complex findings effectively to diverse audiences in a regulated financial environment.

Highest-signal resume keywords

• SQL
• Python
• Data Integration
• Quantitative Analysis
• Machine Learning

ATS Optimization Keywords

Hard Skills

• Data Extraction
• Data Transformation
• Statistical Sampling
• Predictive Modeling
• Data Validation
• Performance Analysis
• Data Management
• Analytical Methodologies
• AI Coding Agents
• Hadoop

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Collaboration Skills
• Time Management

Industry Keywords

• Financial Products
• Regulatory Compliance
• Business Continuity
• Quality Control
• Auditability

Tools & Technologies

• SAS
• Spark
• Database Systems
• Dashboards
• Reports