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Scalian

Engineering and consulting in AI avionics

Architecte Data / IA - Services Financiers

AI & Machine LearningPosted on Nov 9
Full-timeMarseille, FranceNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience, including at least 5 years in Data/AI architecture within financial services.
  • Significant experience delivering at least two Data/AI projects into production in the financial-services sector.
  • Engineering training, a business-school qualification with strong technical specialization, or an equivalent university qualification at Bac+5 level.
  • Mastery of Data/AI architectures in regulated environments and understanding of explainability, traceability, and robustness requirements.
  • Good understanding of banking, insurance, or asset-management business domains.
  • Ability to contribute to presales and solutioning, then lead architecture during delivery of complex projects.
  • Ability to structure an industrialization approach, including prerequisites, phases, deliverables, risks, estimates, and deployment roadmap.
  • Ability to engage with decision-makers, business teams, Data/AI teams, cloud teams, and delivery teams.
  • Ability to document reusable patterns, develop practice assets, and equip teams.
  • Desired technical knowledge includes Databricks or Snowflake, Delta Lake, Kafka, Airflow, Spark, MLflow, Vertex AI or SageMaker, Tecton or Feast feature stores, Hugging Face, LangChain, LlamaIndex, retrieval-augmented generation architectures, fine-tuning, AWS, Azure or Google Cloud Platform, sovereign or private cloud (OVHcloud, Outscale, S3NS), Kubernetes, Docker, Terraform, Python, and SQL.
  • Knowledge of financial-services applications including scoring, pricing, fraud, KYC/AML, risk, compliance, actuarial work, trading, and customer relations.

Responsibilities

  • Define Data and AI architectures, including data mesh, feature stores, MLOps platforms, scoring, pricing, and generative AI for augmented advisors.
  • Industrialize solutions, ensuring scalability, performance, resilience, and cost control.
  • Translate requirements from the AI Act, DORA, ACPR, GDPR, Basel, and Solvency into design choices.
  • Ensure model explainability, traceability, robustness, and bias control.
  • Integrate business constraints across risk, compliance, anti-fraud, KYC/AML, marketing, customer relations, actuarial work, and trading.
  • Document patterns and develop reusable scoring, pricing, and anti-fraud components.
  • Contribute to commercial proposals and client scoping.
  • Develop the offering, establish initial references, and provide expert delivery for clients.

About the Company

Scalian

Engineering and consulting in AI avionics

Scalian Group provides engineering and consulting services to multiple industries, with a focus on AI, avionics, and information systems security. It helps clients by offering tailored solutions built from consulting, managed security services, and software offerings. The company works by combining advisory work, implementation support, and ongoing security and software management to meet each client’s specific needs. What sets Scalian apart is its emphasis on an agile approach and its deep, industry-specific expertise in aerospace and security, enabling rapid adaptation and high-performance results for global industrial leaders. The company aims to deliver precise, reliable solutions that improve performance, security, and efficiency for its clients.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$612.7M
Headquarters
Labège, France
Founded
1989

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