Quantitative Python Engineer, Model Risk & AI Platform (Databricks / Agentic AI)

Company Overview:

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Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and is on track to reach the Top 20 globally by 2030. With a growing presence across the United States—including New York, Charlotte, Chicago, and Houston—BIP operates at the intersection of business strategy, technology, and data to deliver impactful solutions for clients.

With more than 6,000 professionals worldwide, BIP partners with organizations across Financial Services, Insurance, Payments, and other industries. Our capabilities span Data & AI, Cybersecurity, Risk & Compliance, Digital Transformation, and Change Management. We combine deep industry expertise with engineering excellence to help clients modernize platforms, unlock data insights, and drive innovation.

As part of our continued expansion in the United States, BIP is strengthening its Capital Markets technology practice. Our teams work closely with trading, risk, and front-office technology organizations to modernize critical platforms, enhance analytics capabilities, and support complex financial product ecosystems.

About the Role:

BIP is hiring Quantitative Python Engineers to support a high-profile Model Risk transformation program at a leading global investment bank, reporting directly into the CIO organization.

This initiative will redesign and rebuild core Model Risk architecture, leveraging modern AI/ML platforms, agentic workflows, and cloud-native data infrastructure.

You will play a critical role in building next-generation model lifecycle systems, integrating Databricks, MLflow, and agentic AI frameworks (AMPS, Claude) to enable scalable, automated, and governed model risk processes.

This is a hands-on engineering role at the forefront of AI-driven financial architecture, working closely with quant teams, model validation, risk, and platform engineering stakeholders.

Key Responsibilities:

• Design and build Model Risk platform components across the full model lifecycle (development, validation, deployment, monitoring).
• Develop Python-based data and ML pipelines using Databricks and MLflow.
• Engineer and integrate agentic-to-agentic workflows using AMPS, Claude, or similar LLM frameworks.
• Build scalable workflows for:
• Model onboarding & registration
• Validation & approval pipelines
• Model monitoring & performance tracking
• Implement cloud-native architectures (AWS/Azure/GCP) for distributed ML workloads.
• Design automated governance, auditability, and traceability frameworks for model risk.
• Collaborate with quantitative researchers, risk managers, and platform teams.
• Contribute to architecture redesign efforts for enterprise Model Risk systems.
• Ensure systems meet regulatory and internal risk governance standards.

Required Skills and Experience:

• 8+ years of experience in Python engineering / quantitative development
• Strong hands-on experience with:
• Databricks
• MLflow
• Cloud platforms (AWS, Azure, or GCP)
• Experience building ML pipelines and distributed data workflows
• Experience with LLMs / agentic workflows (AMPS, Claude, LangChain, or similar)
• Strong understanding of:
• API-driven and microservices architectures
• Event-driven or workflow-based systems
• Experience working in high-scale, enterprise environments

Highly Preferred:

• Experience with Model Risk Management (MRM) frameworks or lifecycle processes
• Background in:
• Model validation
• Quantitative risk
• Regulatory model governance (SR 11-7 or similar)
• Prior experience within investment banks or large financial institutions
• Exposure to AI-driven automation in risk or modeling workflows

The base salary range for this role is $140,000 - $200,000, with flexibility for exceptional candidates

Benefits:

• Choice of medical, dental, vision insurance.
• Voluntary benefits.
• Short- and long-term disability.
• HSA and FSAs.
• Matching 401k.
• Discretionary performance bonus.
• Employee referral bonus.
• Employee assistance program.
• 11 public holidays.
• 20 days PTO.
• 7 Sick Days.
• PTO buy and sell program.
• Volunteer days.
• Paid parental leave.
• Remote/hybrid work environment support.

For more information about BIP US, visit Employment Opportunity:

It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

BIP US provides a reasonable range of compensation for our roles. xhyhwjd Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.