Quantitative Analyst, Credit Strategy

Jobgether; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A financial services company in the United States is seeking a Quantitative Analyst, Credit Strategy to design credit policies and perform data analysis. The role requires knowledge of retail loan products and skills in SQL and Python. Benefits include comprehensive medical coverage and competitive PTO. This is an excellent opportunity for those looking to grow in a supportive environment.

Benefits

Comprehensive medical, dental, and vision coverage

Competitive PTO and wellness Fridays

401(k) plan with employer contributions

Qualifications

• 1–3 years of relevant experience in analytical projects.
• Strong understanding of retail and small business loan products.
• Proficiency in SQL, Python, R, Power BI, Excel, and PowerPoint.

Responsibilities

• Design, test, and refine credit strategies and decisioning models.
• Conduct data analysis on credit performance using SQL and Python.
• Develop reporting frameworks to monitor credit risk metrics.

Skills

Data analysis

SQL

Python

Analytical thinking

Education

Bachelor’s degree in Computer Science, Math, Physics, Engineering

Tools

Power BI

Excel

PowerPoint

Job description

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Quantitative Analyst, Credit Strategy in the United States.

Responsibilities

• Design, test, and refine credit strategies, underwriting rules, and decisioning models across consumer and commercial lending portfolios.
• Conduct data analysis on credit performance, borrower behavior, and portfolio trends using SQL, Python, and BI tools.
• Develop dashboards and reporting frameworks to monitor credit risk metrics, delinquency, loss rates, and profitability.
• Partner with product and operations teams to execute A/B tests and measure the impact of new credit policies or borrower segments.
• Collaborate with data science teams to integrate new risk models and ensure alignment with credit policy and regulatory requirements.
• Present actionable insights and recommendations to senior management, risk committees, and cross-functional teams.
• Build automated workflows and analytical tools to improve efficiency in reporting and decision-making.

Qualifications

• 1–3 years of relevant experience in analytical projects, preferably in the financial services industry.
• Strong understanding of retail and small business loan products, including unsecured loans and credit cards.
• Familiarity with credit strategies, risk management, pricing, and profitability drivers across the customer life cycle.
• Proficiency in SQL, Python, R, Power BI, Excel, and PowerPoint.
• Experience designing and implementing A/B tests and conducting predictive analytics.
• Strong problem-solving, analytical, and critical thinking skills.
• Ability to manage stakeholders, prioritize work, and drive projects to completion with minimal supervision.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Math, Physics, Engineering, or a related quantitative field.

Benefits

• Comprehensive medical, dental, and vision coverage for employees and eligible family members.
• Competitive PTO and vacation policies, including one Friday off per month for wellness.
• Company 401(k) plan with employer contributions after one year.
• Company-sponsored training and certification opportunities.
• Recognition programs, including quarterly awards and bonuses for top achievers.
• Opportunities for community involvement through volunteer programs.
• Work-life balance supported in a collaborative and growth-oriented environment.

Jobgether AI Matching Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

1. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
2. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
3. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
4. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!