Risk and Tech Workflow

Risk and Tech Workflow Requirements

Summary

This document outlines the responsibilities and skills required for the Risk and Tech

workflows. It  involves designing, developing, and maintaining applications,

collaborating on data ETL workflows, and implementing prompt tuning strategies.

Key skills include hands-on experience with prompt tuning and LLMs, data extraction

and ingestion expertise, maintaining control environment, proficiency in front-end and

back-end technologies, and strong software engineering practices. Additionally, the role

requires excellent communication and collaboration skills.

Responsibilities

• Collaborate with Engineers to implement end to end data ETL and quality

workflows

• Design, develop, and maintain high-quality applications using modern front-end

and back-end technologies

• Develop and implement prompt tuning strategies to optimize the extraction

workflows

Skills

• Hands-on experience with prompt tuning techniques for large language models

(LLMs)

• Familiarity with different LLM architectures and their applications

• Hands-on experience with prompt tuning and large language models

• Data extraction and ingestion

• Experience with ETL solutions, Risk and Data analytics using Python and

similar languages

• Good coding experience in object oriented programming to develop end to

end data flow  C++ or Java

• Strong proficiency in front-end and back-end technologies

• Experience with databases (e.g., SQL, NoSQL)

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP)

• Software Engineering Practices

• Strong understanding of version control workflows

• Experience with agile development methodologies

• Excellent debugging and problem-solving skills

• Communication and Collaboration

• Excellent written and verbal communication skills

• Ability to work independently and as part of a teamRole & responsibilities

Preferred candidate profile

Perks and benefits