Director of Data Science- Credit Risk Scoring
Director of Data Science- Credit Risk Scoring
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1 Vacancy
Job Description
Job description
We are looking for an experienced and experienced Director of Data Science to lead our data science projects with a focus on credit risk scoring. We are looking for expertise in building implementing and optimizing credit risk models including machine learning (ML) models and the ability to manage a team of data scientists.
You are a handson coder with experience using datadriven insights to lead decisionmaking. You have a background in modeling and experience of Python with demonstrated experience delivering solutions to complex credit risk challenges. As a Director Data Science you will be reporting to the VP Analytics Products Build.
Responsibilities:
- Build and mentor a team of data scientists specializing in credit risk modeling.
- Build the data science strategy for credit risk modeling and analytics with our goals.
- Collaborate with teams including product engineering and compliance to integrate models into our workflows.
- HandsOn Development:
- Design scalable accurate and explainable credit risk models and models solving problems across the entire credit lifecycle using machine learning and traditional statistical techniques.
- Write highquality productiongrade Python code to prototype and implement models.
- Ensure comply with regulatory requirements and company policies.
- Analyze large datasets to identify trends and drivers of credit risk ensuring applicable insights for partners.
- Develop approaches to feature engineering and data enrichment to improve model performance.
- Maintain existing models ensuring they remain uptodate with changing data and our needs.
- Communicate technical concepts and model outcomes to nontechnical partners.
- Provide strategic insights to executive leadership based on data science outcomes.
Qualifications:
- Masters degree in Data Science Statistics Computer Science Mathematics or a related field.
- 8 years of experience in data science with a focus on credit risk modeling.
- Experience leading teams.
- Handson experience developing and deploying machine learning models especially in credit risk contexts.
- Fundamental knowledge in general processes around targeting Fraud detection acquisitions Account management collections
- Technical Expertise:
- Advanced proficiency in Python and main libraries such as Pandas NumPy Scikitlearn TensorFlow/PyTorch.
- Knowledge of statistical modeling feature engineering and machine learning algorithms.
- Experience working with big data technologies and distributed systems (e.g. Spark Hadoop).
- Knowledge of credit risk scoring methodologies regulatory frameworks and model governance.
- Experience sping data and parsing unstructured data
Qualifications:
- Capabilities with the ability to inspire and mentor team members.
- Translate complex technical details into applicable insights for diverse partners.
- Thinker with a creative approach to the ability to develop unique solutions
- Experience with Visualization tools such as Tableau
Benefits
- Health Dental Vision Insurance
- 401k match up to 4% of 100% of your salary
- 20% app bonus target
- Remote work environment #liremote
Qualifications :
Qualifications
- Education: Masters degree in Data Science Statistics Computer Science Mathematics or a related field.
- 8 years of experience in data science with a focus on credit risk modeling.
- Handson experience developing and deploying machine learning models especially in credit risk contexts.
- Advanced proficiency in Python and main libraries such as Pandas NumPy Scikitlearn TensorFlow/PyTorch etc. Deep knowledge of statistical modeling feature engineering and machine learning algorithms.
- Experience working with big data technologies and distributed systems is a plus (e.g. Spark Hadoop). Strong knowledge of credit risk scoring methodologies regulatory frameworks and model governance. Extensive experience with sping data and parsing unstructured data
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is awardwinning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
