Fraud & Risk Analytics Data Jobs

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Senior Data Scientist

Danology Greenville, SC

Greenville, SC

Today

$115k - $125k/yr Full time Senior Credit Risk Analytics Data Science

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Job Description

Danology is hiring a Senior Data Scientist for financial services, focused on building and deploying credit risk, fraud detection, and customer analytics models. This hybrid role is based in Greenville, SC and includes end-to-end ownership of client engagements, collaboration with technical teams, and mentorship of junior data scientists.

Key Responsibilities

Lead data science delivery on client engagements, from initial scoping through final delivery.
Manage typically 1–2 engagements at a time.
Build, validate, and deploy credit risk models, including probability-of-default, loss forecasting, and scorecard development.
Build, validate, and deploy fraud detection models, including transaction monitoring and near-real-time anomaly detection.
Build, validate, and deploy customer analytics models, including segmentation, churn, and next-best-offer modeling.
Translate ambiguous business needs into clear modeling problem statements and communicate modeling tradeoffs to clients.
Produce documentation suitable for model risk management review, including SR 11-7 or similar requirements.
Present results to client executives and to technical teams.
Mentor 2–3 junior data scientists through code reviews and methodology discussions.

Required Qualifications

5+ years of data science experience, including 2–3 years working with financial services data.
Strong Python skills (pandas, scikit-learn, XGBoost/LightGBM) and SQL; R is a plus.
Experience deploying models on AWS or Azure.
Working knowledge of credit products and relevant regulations (for example, fair lending and model governance).
Ability to work directly with clients and lead projects with minimal supervision.
Master’s or PhD in a quantitative field preferred; equivalent experience will be considered.

Technologies

Python, pandas, scikit-learn, XGBoost, LightGBM, SQL, R
AWS, Azure, Spark, Databricks

Benefits

Health, dental, and vision insurance, with 80% of employee premiums covered.
401(k) with a 4% company match.
15 days PTO plus 10 paid holidays.
$2,500 annual training and conference budget.
Company laptop.
$500 home office stipend.

Nice to Have

Prior consulting experience.
Experience with explainability methods such as SHAP or reason codes for adverse action notices.

Hiring Process

30-minute intro call with the founder.
60-minute technical conversation about past modeling work (no live coding).
Case discussion based on a realistic client scenario.
Offer typically within 2–3 weeks of first contact.

Role Details

Location: Greenville, SC (hybrid)
Compensation: USD 115,000–125,000 per year

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