Business Analyst (Market Data feeds) & AWS Cloud Engineer & Prompt Engineer / AI Specialist

Job Title: Business Analyst (Experience with Market Data feeds)
Location: Newark, NJ
Job Description:

• Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience.

• You should collaborate with 7 business affiliates and 4 functional areas to understand, consolidate, and document business requirements.
• Prior experience working with Market Data feeds (e.g. Bloomberg, S&P, FactSet, Moody's, S&P, Blackrock, LSEG Refinitiv, etc.) and Asset Management Industry or Financial Services Experience .
• Prior experience with Microsoft Purview or other data governance tool is a plus.

• Must have analyze Market Data Feed Usage , data ingestion processes, downstream data consumption, and business use cases.
• Gather and document data field requirements, historical data requirements, data lineage, and data usage across functional areas.
• You should define and document data quality rules, validation requirements, and business controls.
• Experience in translate business requirements into detailed functional and technical specifications for technology and development teams.
• Work closely with business stakeholders, data teams, technology teams, and vendors to ensure requirements are clearly understood and implemented.
• You Should analyze existing data processes and identify opportunities for data quality, governance, integration, and process improvements.
• Experience with support documentation of data requirements, data flows, source systems, downstream consumers, and business rules.
• You should partner with data governance teams to establish consistent data definitions, quality standards, ownership, and governance practices.

Job Title : AWS Cloud Engineer

Location : Newark NJ

Job Description:

• Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 11+ Years of relevant experience
• Design and implement scalable and secure AWS architectures
• Deploy applications and infrastructure using AWS services
• Select appropriate AWS services based on business requirements
• Provision infrastructure using Infrastructure as Code (IaC) tools (CloudFormation, Terraform)
• Automate deployments and operational processes
• Implement CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions
• Implement AWS security best practices (IAM, VPC, security groups, encryption)
• Ensure compliance with organizational and regulatory policies
• Monitor and mitigate risks related to cloud infrastructure
• Monitor systems using CloudWatch, AWS Config, CloudTrail
• Optimize cost, performance, and scalability of cloud environments
• Troubleshoot production issues and resolve system bottlenecks
• Strong analytical and problem-solving ability
• Excellent communication and stakeholder management abilities.
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to lead technical discussions, architecture reviews, and cross-functional initiatives.

Job Title : Prompt Engineer / AI Specialist LLM & AI Platforms



Location : NYC or Alpharetta, GA (F2F interview in NYC)

Required Skills : OpenAI, LLM, ML, Angular, HTML, CSS, and TypeScript

Job description:

• Bachelor's degree in computer science, Information Technology, or a related field
• 8 10 years of experience across AI, data science, machine learning, or full stack engineering roles.
• Strong hands on experience with LLMs and prompt engineering.
• Experience integrating OpenAI and other AI/LLM platforms via APIs.
• Strong proficiency in Python for AI workflows, services, and data processing.
• Solid understanding of data science and ML fundamentals (model evaluation, feature engineering, experimentation).
• Full stack exposure with Angular, HTML, CSS, and TypeScript.
• Core Banking or Financial/Wealth management domain working experience required
• Experience with Service Assist AI, conversational AI, or agent assist platforms.
• Exposure to embeddings, vector databases, or RAG architectures.
• Familiarity with AI governance, responsible AI frameworks, and risk controls.
• Cloud or AI platform certifications.