Data Scientist - Fraud Modelling - Analytics

Data scientist - Fraud modelling - US Client (Analytics)

Salary: 15 to 30 LPA

Experience: 3 to 6 years

Location: Gurugram/Bangalore/Pune

Notice Period: Immediate to 30 days!!

Roles & Responsibilities:

- 3+ years experience on Python, ML and Banking model development.

- Interact with the client to understand their requirements and communicate/brainstorm solutions, model development: Design, build, and implement credit risk model.

- Contribute to how analytical approach is structured for specification of analysis.

- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective and independently address complex problems.

- 3+ years experience on ML/Python (predictive modelling).

- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.

- Create experiments and prototype implementations of new learning algorithms and prediction techniques.

- Collaborate with product managers and stockholders to design and implement software solutions for science problems.

- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.

- Has experience working on unstructured data (text): Text cleaning, TFIDF, text vectorization.

- Hands-on experience with IFRS 9 models and regulations.

- Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.

- Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.

- Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.

- Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.