Fraud / Credit Data Scientist, Risk Solutions

WEX, Inc.; United States; On-site; USD 120,900 - 136,800; Full time

Benefits offered by this job

Health, dental and vision insurances

Retirement savings plan

Paid time off

Tuition reimbursement

Job summary

WEX, Inc. is seeking a Data Scientist to join our Global Risk Solutions and Strategy team. This role focuses on utilizing data science methodologies and advanced machine learning technologies to address business challenges and enhance decision-making processes.

In this position, you will leverage your expertise in machine learning and statistical frameworks to develop models that help mitigate risks for the firm. Candidates should have strong analytical skills, and a Master's or Ph.D. in a quantitative field along with knowledge of SQL and Python.

The position offers a competitive salary range of $120,900.00 – $136,800.00 along with a comprehensive benefits package.

Qualifications

• 1 to 3 years of hands-on experience in data science, machine learning, or artificial intelligence.
• Excellent analytical, creative problem-solving, and critical thinking skills.
• Advanced knowledge of SQL and experience creating and managing large datasets.
• Working knowledge of Python or R.

Responsibilities

• Leverage advanced statistical and machine learning methods to design solutions.
• Develop code and automated processes to combine and transform large volumes of data.
• Synthesize findings into actionable insights.
• Identify and communicate challenges, opportunities, and risks.

Skills

Data Science

Machine Learning

Statistical Learning

Artificial Intelligence

Analytical Thinking

SQL

Python

R

Communication

Education

Master's or Ph.D. in a quantitative field

Tools

lightgbm

scikit-learn

pandas

numpy

Job description

About the Team/Role

Our Team: The Global Risk Solutions and Strategy group is a fast‑growing team optimizing risk solutions and models, and we are a key function to help enable WEX's strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit, collections and fraud risk to proactively manage the risk throughout the client's life‑cycle. As such, you will work with the latest data and machine learning technologies and algorithms in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision‑making.

Who You Are

You are a data scientist who excels at identifying solutions with machine learning and artificial intelligence models. You effectively assess how to best address a problem, recognizing where machine learning and artificial intelligence fits within a broader strategy. Your belief in strong communication and relationships is key to success, alongside your data and machine learning prowess. You thrive in identifying and mitigating risks and opportunities for the business, and enjoy employing advanced machine learning models for prevention.

How you'll make an impact

• Learn from stakeholders and leaders on how to connect a business problem to data‑driven solutions to measure and monitor risk across the firm's products and services.
• Leverage a broad spectrum of advanced statistical and machine learning methods and technologies to design flexible, scalable, and automated modeling solutions.
• Develop code and automated processes to combine and transform large volumes of data from disparate sources, to extract informative patterns.
• Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes.
• Synthesize findings into actionable insights and articulate them to the appropriate stakeholders.
• Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product.

How you'll engage:

• Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics.
• Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact.
• Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact.
• Dynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration.
• Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning.
• Curiosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary.

Experience You'll Bring:

• 1 to 3 years of hands‑on experience in data science, machine learning, or artificial intelligence, preferably in fintech/financial services industry.
• Excellent analytical, creative problem‑solving, and critical thinking skills, with the ability to tackle complex challenges and deliver innovative solutions.
• Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science.
• Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information.
• Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit‑learn, pandas, numpy, etc.
• Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes.
• Adaptable and comfortable working collaboratively and independently in a self‑starting manner.
• Evidence of creative problem solving, critical thinking and a continual learning mindset.

How you will stand out:

• Prior experience building machine learning risk models in payment processing.

Additional Skills

• Knowledge of data attributes and coverage of risk‑factors for credit, fraud or other risk domains.
• Experience using cloud environments to develop advanced models, such as AWS SageMaker.
• Experience with end‑to‑end machine learning systems and MLOps framework.

Key Words

Data Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Fraud, Finance, Collections, Optimization

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non‑sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well‑being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $120,900.00 – $136,800.00