Data Scientist

iCreditWorks
Published
July 14, 2019
Location
Iselin, NJ
Job Type

Description

iCreditWorks is a FinTech start-up, focused on leveraging emerging mobile technologies and artificial intelligence to transform point-of-care lending between healthcare consumers and professionals. We are looking for proactive and creative Data Scientists to join our team in Edison, New Jersey. This is an exciting opportunity to work in a fast-paced, entrepreneurial environment.

We are revolutionizing access to credit by providing a seamless mobile experience for healthcare consumers desiring access to financing programs to pay for their healthcare expenses. As part of our Data Science team, you will leverage your expertise in working with structured and unstructured datasets to optimize company-wide Machine Learning models, tackle business issues, and bring the data-driven solutions into production to make real business impact. Your models and risk strategies will have a direct impact on our customers by helping us provide them with rapid financing options.

The ideal candidate is a critical thinker, highly analytical, and a driven problem-solver. The candidate should also be passionate about innovation, the client-experience, and collaborating with our Risk, Senior Management and Engineering teams to leverage big data and platforms to maximize revenue.

This position will report to the Chief Risk Officer.

Minimum Qualifications

  • Bachelor's Degree in Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative field.
  • 5-9 years of experience in Data Science, Data Analytics, and Risk Strategies.
  • Proven experience in developing, implementing, and validating Risk Models/Decision Engines in the FinTech industry or in multinational Credit Cards or Personal Lending institutions. Experience in the healthcare personal loans industry is a plus.
  • Expertise in Machine Learning theories and practices, including Regression Models, GLM, SVM, neural networks and tree-based models (e.g. XGBoosting, Random Forest).
  • Extensive experience in SQL, Python, R or other equivalent data mining tools.
  • Professional experience with relational databases (e.g. MySQL, PostgresSQL)
  • Professional experience in cloud environments (e.g. AWS)
  • Experience in building MIS infrastructure, risk dashboards, and monitoring/interpreting the reports data to understand the performance of the ML model, loan portfolio, and credit/profitability trends.
  • Experience operating in a continuous integration, continuous delivery (CI/CD) environments, and collaborating with Data Engineers to design the Data Architecture.
  • Excellent interpersonal skills to ensure effective working relationships with other functional teams within the company, with dedication and willingness to learn and adjust in a fast-paced working environment.

Preferred Qualifications

  • Masters Degree or PhD in Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative field.
  • Proven ability to communicate findings clearly to both technical and non-technical audiences.
  • Experience in developing and implementing credit limit assignment and pricing strategies.
  • Prior experience in unsecured lending risk and loss forecasting modeling.

Why ICreditWorks Is a Fit For You

We believe in disruption and innovation, we value extreme ownership and cross-functional collaboration. We are passionate about our clients’ needs and removing friction from the online lending process.

What You'll Do

  • Participate as part of a team of talented experts to optimize the company-wide data driven models and support the credit team to design/implement risk and profitability strategies.
  • Collaborate with Credit, external consultants, third-party suppliers, and Data Engineers to drive the attributes innovations from structured/unstructured data sets to identify credit and fraud risk patterns through advanced data mining and machine learning techniques.
  • Collaborate closely with Business Owners, Product Managers, Engineers, and third-party suppliers to design/implement a robust risk decision/reporting infrastructure, deploying models and risk decision strategies, and troubleshooting issues.
  • Obtain deep understanding of risk policies and ensure Data Science solutions are validated, implemented, and executed accurately.
  • Ensure that the ML model data is consistent and yields high-quality output in line with iCW risk appetite.
  • Support the launch of new products and expand current back-end systems to accommodate product updates in a more efficient and robust risk-decisioning process.
  • Monitor, on an ongoing basis, the portfolio trends and identify the impact of the model’s attributes in the credit portfolio quality and profitability. Proactively share findings with CRO and Senior Management to take actions to optimize the ML models’ results.

iCreditWorks is an equal opportunity employer and dedicated to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender identity, sexual orientation, age, marital status, pregnancy status, veteran status, or disability status.

Competitive compensation package includes health insurance.

The Company’s mission is to leverage mobile technologies that will transform point-of-care lending between dental patients and professionals.

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