Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Work within a global technology consultancy firm to deliver business benefits through innovation.
- Leverage cutting-edge technology led solutions delivered by skilled professionals.
- Execute projects in the fields of Capital Markets, Trading, and Risk Management functions.
- Collaborate with internal teams to innovate and enhance operational excellence strategy.
Requirements
- Development experience in one or more object-oriented programming languages (e.g. Python, Java).
- Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Can carry out data analyses to yield actionable business insights.
- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages.
- Advanced SQL knowledge.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Experience working closely with other data scientists, data engineers’ software engineers, data managers and business partners.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
AM
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