Software Engineer - CRG (Analyst / Associate)

Dallas, TX, US • Posted 1 day ago • Updated 10 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Generative Artificial Intelligence (AI)
Use Cases
Data Processing
Workflow
API
Agile
Legal
Data Science
Legacy Systems
Business Process
Java
Python
Prompt Engineering
Analytical Skill
Problem Solving
Conflict Resolution
Search Technologies
SQL
MongoDB
Real-time
Apache Kafka
Artificial Intelligence
Orchestration
Cloud Computing
Amazon Web Services
Automated Testing
Software Development Methodology
Continuous Integration
Continuous Delivery
Communication
Collaboration
Computer Science
Software Engineering
LangChain
React.js
AngularJS
GitLab
Kubernetes
Financial Services
Regulatory Compliance
Risk Management

Summary

Job Description

OUR IMPACT
The Conflicts Resolution Group (CRG) is a control function with a primary objective to identify and mitigate the firm's actual or perceived conflicts of interest and associated reputational risks which may result from the firm taking on a new role, responsibility, or position on a potential deal or with a potential counterparty. CRG Engineering plays a critical role in the development and support of software solutions aligned with the CRG objectives for improved risk management for the firm and ensuring a timely turnaround for our revenue divisions.
HOW YOU WILL FULFILL YOUR POTENTIAL

Partner globally across CRG and other Engineering teams to design and deliver end-to-end AI-enabled platforms.
Design, develop, test, deploy, and maintain services with a strong emphasis on AI/GenAI use cases.
Build scalable data processing, workflow, and API solutions across large datasets, real-time processing, and event-driven architectures.
Collaborate in an agile environment with product, legal, data science, and design partners to prototype ideas and share best practices.
Demonstrate willingness to learn, support, and modernize legacy systems that underpin critical conflicts resolution business processes.
Apply modern AI techniques-including LLMs, RAG, and agent-based frameworks-to solve business and risk-management problems.

QUALIFICATIONS

Strong programming experience in Java and Python.
Hands-on experience applying LLMs, prompt engineering, RAG, and AI agents to real-world problems.
Strong analytical and problem-solving skills, with the ability to translate complex business and regulatory requirements into technical solutions.
Experience with data stores and search technologies (e.g., SQL, MongoDB, Elastic) and familiarity with distributed or real-time systems (e.g., Kafka).
Experience building AI agents, including tool use, planning, and orchestration.
Experience building and deploying cloud-native services on an AWS stack, with strong grounding in automated testing, SDLC practices, and CI/CD pipelines.
Excellent communication and collaboration skills across technical and non-technical stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
0-3+ years of relevant professional software engineering experience, depending on level.
Experience in some of the following is desired and can set you apart from other candidates:
Experience with agent and RAG frameworks such as LangChain, LangGraph, and/or ADK.
Frontend experience with React/Angular.
Familiarity with platforms and tooling such as GitLab and Kubernetes.
Knowledge of financial services or control functions such as legal, compliance, or risk management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121118
Position Id: 8a3ef702d59e5c776b6299f5bb4eb3f
Posted 1 day ago

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