Senior Solutions Architect: Data & AI (Hybrid)

Fitch Solutions

New York (NY)

Hybrid

USD 100,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Hybrid work environment
Mentorship programs
Retirement planning
Healthcare offerings
Parental leave
Volunteer days

Job summary

Fitch Solutions is seeking a Solution Architect based out of our NYC office (also in London, Singapore, Warsaw, Mumbai) to translate client data needs into scalable solutions. You will work with clients to understand requirements, demonstrate concepts, and deliver data-driven insights that empower risk management and investment strategies.

The role combines technical depth with clear communication, requires understanding of data lakes, data ingress/egress, and basic Python skills.

Qualifications

  • Have an understanding of data ingress and egress into multiple systems
  • Understanding of AI and basic programming skills including python
  • Understand data lakes
  • Enjoy working on technical problems and translating technical information between internal stakeholders and clients

Responsibilities

  • Work with clients to translate their data needs into solutions
  • Promote and maintain a strong feedback loop between customers and internal stakeholders
  • Breaking down complex technical components for customers
  • Conducting demonstrations, proof of concepts, demo builds and presentations
  • Making our data easy for customers to use

Skills

Data ingress/egress
AI understanding
Python (basic)
Data lakes
Translating technical info
Presentation skills
Credit markets understanding

Job description

Fitch Solutions is seeking a Solution Architect based out of our NYC office (also in London, Singapore, Warsaw, Mumbai) to translate client data needs into scalable solutions. You will work with clients to understand requirements, demonstrate concepts, and deliver data-driven insights that empower risk management and investment strategies.

The role combines technical depth with clear communication, requires understanding of data lakes, data ingress/egress, and basic Python skills.

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