Senior Quant Analytics Lead – Collections & Recovery

TwinThread; Wilmington (DE); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

TwinThread is seeking a Quantitative Analytics Associate Senior for its Consumer and Community Banking division. The role involves driving data-driven decisions and leveraging analytics to enhance collections and recovery performance.

Key responsibilities include data programming, trend monitoring, and collaboration with multiple functions to mitigate risks. A Bachelor's or Master's degree in a quantitative field is required, along with relevant analytical experience.

This is a hybrid position with expected office presence three days a week.

Qualifications

• Intermediate to advanced knowledge in statistics, finance, analytics, predictive modeling, and machine learning.
• Proven experience with programming languages and relational databases.
• Ability to interpret and present data clearly.

Responsibilities

• Collect, organize, analyze, and disseminate significant amounts of information.
• Monitor internal and external trends to support strategic direction.
• Leverage innovation and design thinking to improve operational efficiency.

Skills

Statistics

Predictive Modeling

Data Analysis

Machine Learning

SQL

Python

SAS

R

Alteryx

Education

Bachelor’s degree in Statistics, Economics, or a related field with 4+ years of experience

Master’s/MBA degree with 2+ years of applied analytical experience

Tools

Oracle

Teradata

Tableau

Job description

TwinThread is seeking a Quantitative Analytics Associate Senior for its Consumer and Community Banking division. The role involves driving data-driven decisions and leveraging analytics to enhance collections and recovery performance.

Key responsibilities include data programming, trend monitoring, and collaboration with multiple functions to mitigate risks. A Bachelor's or Master's degree in a quantitative field is required, along with relevant analytical experience.

This is a hybrid position with expected office presence three days a week.