Data Scientist (Risk Strategy) - Senior Analyst

Job opening for Data Scientist (Risk Strategy) - Senior Analyst with a AI Based IT Company.

Job Role: Data Scientist (Risk Strategy) - Senior Analyst

Location: Permanent Remote / WFH

Working Days: 5 Days

Job Roles:

As a Data Scientist on the credit risk strategy team, you will use your analytical and creative abilities to create industry-leading risk management plans that significantly affect the client's operations. These tactics will enhance the client's marketing, customer experience, and credit and fraud risk verticals and other areas.

By reducing the time it takes to create and implement risk strategies, having you on board will help us stay in line with market trends. This will allow for faster iterations and broader coverage when tackling business difficulties using scientific approaches. Additional income and cost savings from releases are the primary KPIs for this role. Additionally, this position facilitates knowledge exchange, documentation, and compliance with risk plans.

Job Responsibilities:

Use advanced data analytics and domain expertise to develop, validate, and implement risk management strategies.

Extract and explore data, verify data integrity, conduct ad hoc analysis, and assess new data sources for strategy development.

Keep thorough records of the methods and approaches employed, including goals, presumptions, performance, weaknesses, and limitations.

Be prepared to adjust to new platforms, tools, libraries, and technologies.

Collaborate actively with engineers to verify and implement scalable solutions.

Work together to get feedback from partners around the company.

Grow your knowledge in data science and engineering by studying on your own, working on projects, and getting advice from senior team members.

Requirement:

 Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred

 3+ years of Data Science experience

 2+ years in financial services  Experience building and implementing risk strategies in production

 Deep understanding of segmentation techniques such as decision trees

 Experience in banking sector with exposure to risk management analytics

 Proficient with Python  Proficient with SQL  Practical experience using Spark is a plus

 Understanding of statistical modeling techniques is a plus

 Technical understanding of algorithm complexity, probability & statistics

 Self-driven with an aptitude for independent research & problem-solving

 Ability to multi-task in a fast-paced environment is essential

Interested candidates can share their resume on kiran@thepremierconsultants.com

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