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G MASS Consulting Tech Stack

Resource augmentation and ML consulting for financial services

Business Consulting and Services London 51–200 employees Privately Held

G MASS pairs recruitment-backed resource augmentation with consulting delivery across Financial Services and Insurance. The tech stack—Kubeflow, Kubernetes, Snowflake, Kafka, and a full ML ops toolchain—signals a shift beyond pure staffing toward building internal ML capabilities for clients. Active hiring across engineering, data, and ops (45 roles in 30 days) and projects like ML platforms for pricing and derivatives reporting suggest the firm is scaling its own data and engineering bench to match client transformation scope.

Tech Stack 76 technologies

Core StackKubeflow Python pandas scikit-learn Kubernetes Docker AWS Snowflake Java PostgreSQL MongoDB Kafka Salesforce AWS Lambda AWS RDS Terraform React JavaScript TypeScript Jenkins CI/CD Qiskit Sage 200 ArcticDB CREST AWS ECS IAM JBoss WildFly IBM MQ+45 more
AdoptingGemini

What G MASS Consulting Is Building

Challenges

  • Inefficiencies in onboarding workflows
  • Replacing legacy reporting platform
  • Process gaps in onboarding workflows
  • Legal teams under pressure
  • Legal teams under constant strain
  • Efficient execution across platform
  • Control enhancement initiatives
  • Complex london market environment
  • Multi-currency reconciliations
  • Managing growing delegated authority portfolio

Active Projects

  • Design and implementation of target operating models
  • Wholesale implementation of calypso across derivatives business
  • Client onboarding workflow improvement
  • Emir 3.0 reporting change initiative
  • Private debt and private equity investment lifecycle management
  • Process improvement and control enhancement initiatives
  • Asset servicing and cash management processes
  • Refining and scaling hiring processes
  • Ml platform for pricing workflows
  • Ml lifecycle tooling for deployment and monitoring

Hiring Activity

Accelerating45 roles · 45 in 30d

Department

Engineering
9
Ops
7
Data
5
Finance
5
Legal
5
Sales
4
Compliance
3
HR
3

Seniority

Senior
30
Mid
8
Junior
5
Lead
3
Director
1

Notable leadership hires: KYC Onboarding Lead, Programme Director

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About G MASS Consulting

G MASS is a specialist resource augmentation consultancy part of the Good Together Group, based in London. They serve mid-market and enterprise Financial Services and Insurance firms, combining recruitment capability with consulting delivery and governance. The business focuses on designing target operating models, implementing large derivatives platforms (Calypso), overhauling client onboarding workflows, and building ML infrastructure for pricing and portfolio management. Recent project activity includes EMIR 3.0 regulatory reporting, private debt lifecycle management, and asset servicing process redesign. They hire across the UK and US.

HeadquartersLondon
Company Size51–200 employees
Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What tech stack does G MASS Consulting use?

Python, Kubernetes, Docker, Snowflake, Kafka, Salesforce, AWS (Lambda, ECS, RDS), PostgreSQL, MongoDB, Jenkins, React, and TypeScript. They're adopting Gemini and run ML infrastructure using Kubeflow and scikit-learn.

Where is G MASS Consulting headquartered?

London, UK. They hire in both the United Kingdom and United States, with hiring velocity accelerating.

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How this profile is built

G MASS Consulting's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.