Directors, Data Science - Predictive Modeling and Credit Risk Innovation
Join the Future of Credit Risk Modeling at Workwarp
Imagine being at the forefront of data science innovation, driving business growth, and shaping the next generation of credit risk models. At Workwarp, we're on a mission to revolutionize the way financial services companies approach credit risk assessment. We're seeking experienced Directors, Data Science to lead our team in building, implementing, and enhancing predictive models that enable better credit risk decisions.
About Us
Workwarp is a pioneering company that's pushing the boundaries of data science and machine learning in the financial services industry. Our team of experts is dedicated to developing and implementing cutting-edge models that drive business growth and improve customer experiences. We're a remote-friendly company that values collaboration, innovation, and continuous learning.
Job Summary
As a Director, Data Science at Workwarp, you'll play a critical role in driving the next generation of innovations in credit risk models. You'll work closely with cross-functional teams to solve business problems, accelerate work streams to enhance models, and incorporate best-in-class machine learning in risk models. You'll develop and lead predictive models for credit risk assessment, interact with business partners to integrate models with business decisions, and plan and deliver high-performing models that meet deadlines and ensure accurate and efficient implementation of models in production systems.
Key Responsibilities:
Develop and implement credit risk models using large datasets and machine learning algorithms
Drive the next generation of innovations in credit risk models and interact with cross-functional teams to solve business problems
Accelerate work streams to enhance models and incorporate best-in-class machine learning in risk models
Develop and lead predictive models for credit risk assessment and interact with business partners to integrate models with business decisions
Plan and deliver high-performing models, meeting deadlines, and ensuring accurate and efficient implementation of models in production systems
Stay up-to-date with industry developments and best practices, conducting research and development to incorporate best-in-class modeling methodologies and share with the team
Essential Qualifications:
Master's degree in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field
2 years of experience developing and implementing credit risk models using large datasets in a Financial Services company
Experience with machine learning algorithm development and big data platform and its applications
Experience with statistical and data mining techniques, including regression analysis and Machine Learning tools for pattern recognition and predictive analytics
Experience with thinking strategically and applying both quantitative methods and business insights to drive results
Experience with relationship management and collaborating and partnering with key business partners
Experience with articulating complex theories, concepts, methodologies, and findings
Experience with Hadoop, Pig, Hive, Spark, SAS, R, Python, and SQL
Preferred Qualifications:
Ph.D. in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field
Experience with cloud-based technologies and architectures
Experience with agile development methodologies and DevOps practices
Experience with data visualization tools and techniques
Skills and Competencies:
To succeed as a Director, Data Science at Workwarp, you'll need:
Strong technical skills in machine learning, deep learning, and predictive modeling
Excellent communication and collaboration skills
Ability to think strategically and drive business growth
Strong problem-solving skills and attention to detail
Ability to work in a fast-paced, dynamic environment
Career Growth Opportunities and Learning Benefits:
At Workwarp, we're committed to helping our team members grow and develop their skills. We offer:
Opportunities for career advancement and professional growth
Access to cutting-edge technologies and tools
Training and development programs to help you stay up-to-date with industry trends and best practices
Collaborative and dynamic work environment
Work Environment and Company Culture:
At Workwarp, we value:
Collaboration and teamwork
Innovation and creativity
Continuous learning and growth
Diversity and inclusion
Work-life balance
Compensation, Perks, and Benefits:
We offer a competitive salary range of $150,000 - $225,000 annually, depending on experience and location. Our benefits package includes:
Competitive base salary
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption, or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Why Join Us?
If you're passionate about data science, machine learning, and credit risk modeling, we want to hear from you. At Workwarp, we're committed to creating a work environment that's inclusive, collaborative, and dynamic. We offer opportunities for career growth, learning, and development, as well as a competitive compensation package and benefits. Apply now to join our team and help shape the future of credit risk modeling!
Apply now and take the first step towards a rewarding career in data science!
Apply Now
Imagine being at the forefront of data science innovation, driving business growth, and shaping the next generation of credit risk models. At Workwarp, we're on a mission to revolutionize the way financial services companies approach credit risk assessment. We're seeking experienced Directors, Data Science to lead our team in building, implementing, and enhancing predictive models that enable better credit risk decisions.
About Us
Workwarp is a pioneering company that's pushing the boundaries of data science and machine learning in the financial services industry. Our team of experts is dedicated to developing and implementing cutting-edge models that drive business growth and improve customer experiences. We're a remote-friendly company that values collaboration, innovation, and continuous learning.
Job Summary
As a Director, Data Science at Workwarp, you'll play a critical role in driving the next generation of innovations in credit risk models. You'll work closely with cross-functional teams to solve business problems, accelerate work streams to enhance models, and incorporate best-in-class machine learning in risk models. You'll develop and lead predictive models for credit risk assessment, interact with business partners to integrate models with business decisions, and plan and deliver high-performing models that meet deadlines and ensure accurate and efficient implementation of models in production systems.
Key Responsibilities:
Develop and implement credit risk models using large datasets and machine learning algorithms
Drive the next generation of innovations in credit risk models and interact with cross-functional teams to solve business problems
Accelerate work streams to enhance models and incorporate best-in-class machine learning in risk models
Develop and lead predictive models for credit risk assessment and interact with business partners to integrate models with business decisions
Plan and deliver high-performing models, meeting deadlines, and ensuring accurate and efficient implementation of models in production systems
Stay up-to-date with industry developments and best practices, conducting research and development to incorporate best-in-class modeling methodologies and share with the team
Essential Qualifications:
Master's degree in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field
2 years of experience developing and implementing credit risk models using large datasets in a Financial Services company
Experience with machine learning algorithm development and big data platform and its applications
Experience with statistical and data mining techniques, including regression analysis and Machine Learning tools for pattern recognition and predictive analytics
Experience with thinking strategically and applying both quantitative methods and business insights to drive results
Experience with relationship management and collaborating and partnering with key business partners
Experience with articulating complex theories, concepts, methodologies, and findings
Experience with Hadoop, Pig, Hive, Spark, SAS, R, Python, and SQL
Preferred Qualifications:
Ph.D. in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field
Experience with cloud-based technologies and architectures
Experience with agile development methodologies and DevOps practices
Experience with data visualization tools and techniques
Skills and Competencies:
To succeed as a Director, Data Science at Workwarp, you'll need:
Strong technical skills in machine learning, deep learning, and predictive modeling
Excellent communication and collaboration skills
Ability to think strategically and drive business growth
Strong problem-solving skills and attention to detail
Ability to work in a fast-paced, dynamic environment
Career Growth Opportunities and Learning Benefits:
At Workwarp, we're committed to helping our team members grow and develop their skills. We offer:
Opportunities for career advancement and professional growth
Access to cutting-edge technologies and tools
Training and development programs to help you stay up-to-date with industry trends and best practices
Collaborative and dynamic work environment
Work Environment and Company Culture:
At Workwarp, we value:
Collaboration and teamwork
Innovation and creativity
Continuous learning and growth
Diversity and inclusion
Work-life balance
Compensation, Perks, and Benefits:
We offer a competitive salary range of $150,000 - $225,000 annually, depending on experience and location. Our benefits package includes:
Competitive base salary
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption, or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Why Join Us?
If you're passionate about data science, machine learning, and credit risk modeling, we want to hear from you. At Workwarp, we're committed to creating a work environment that's inclusive, collaborative, and dynamic. We offer opportunities for career growth, learning, and development, as well as a competitive compensation package and benefits. Apply now to join our team and help shape the future of credit risk modeling!
Apply now and take the first step towards a rewarding career in data science!
Apply Now