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Principal Data Scientist - Fintech Lending/Capital

ToastBengaluru, India | Karnataka, IndiaOnsite

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready*


to make a change?


Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands. As a Principal Data Scientist, you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team.  An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting, and risk management models.

About this


Roll*


:


  • Lead the development and implementation of advanced predictive models, to assess credit risk, optimize lending growth, and improve overall portfolio performance.
  • Will actively engage in code reviews and comprehensive data quality assessments, ensuring that all development data pipelines and code meet the highest standards of reliability, accuracy, and readiness for seamless production deployment.Collaborate closely with cross-functional teams, including Risk Management, Product, Engineering, and Business Strategy, to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives.
  • Design, develop, and maintain innovative credit risk and lending growth strategies that align with the organization's objectives, while ensuring compliance with regulatory requirements and industry best practices.
  • Monitor and analyze the performance of existing models and strategies, identifying areas for improvement and implementing data-driven refinements as needed.
  • Present complex data-driven insights and recommendations to stakeholders in a clear, concise, and actionable manner, while fostering a data-driven culture within the organization.
  • Mentor and guide junior data scientists, fostering a collaborative environment and promoting the growth and development of the data science team.
  • Stay current with the latest trends and developments in data science, fintech, and credit risk management, continually exploring new methods and technologies to enhance the organization's capabilities.

Do you have the right


ingredients*


?


  • Advanced degree in quantitative field such as Data Science, Statistics, Mathematics, Financial Engineering or related discipline 
  • 10+ years of experience in data science, with a focus on credit risk modeling in retail lending space (consumer or small business) and lending growth strategies, preferably within the fintech lending space.
  • Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting.
  • Familiarity with the US model risk management policies such as SR 11-7 that govern the lending models is strongly preferred.
  • Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, Scala, scikit-learn, Tensorflow, PyTorch, XGBoost etc.
  • Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling 
  • Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry.
  • Excellent communication and presentation skills, with the ability to articulate complex data-driven insights to both technical and non-technical stakeholders.
  • Strong leadership skills, with experience mentoring and guiding junior data scientists

Bonus


ingredients*


:


  • Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
  • Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders

We are Toasters


Diversity, Equity, and Inclusion is Baked into our Recipe for Success.At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.

Bready* to make a change? Apply today!


Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

Life at Toast

Toast is an all-in-one point-of-sale and restaurant management platform. As a cloud-based system built specifically for restaurants, Toast offers advanced functionality including tableside ordering, quick menu modifications, real-time enterprise reporting, online ordering, and labor management on an easy-to-use interface. Want to be a Toaster Join us! We move fast, work hard, have fun, and care deeply about our customers success. http://pos.toasttab.com/careers
Thrive Here & What We Value1. Commitment to Creating an Accessible and Inclusive Hiring Process2. Providing Reasonable Accommodations for Persons with Disabilities3. Enhancing Equitable Opportunities for All4. Baking Inclusive Principles into Our Company and Design5. Providing Competitive Compensation and Benefits Programs6. Embracing Diversity and Inclusion7. Focusing on Employee Development and Professional Growth8. Belief in Authenticity, Inclusivity, High Standards of Respect and Trust9. Emphasis on Baking Inclusive Principles into Company Culture1e Equitable Opportunities for All Employees12 Risk Assessment and Mitigation Plan Development13 Regulatory Change Monitoring and Awareness14 Subject Matter Expertise on International Laws and Regulations15 Uncapped Commissions for Eligible Roles16 Focusing on Operational Excellence17 Emphasis on Analytical Prowess
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