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

BIP US; New York (NY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Short- and long-term disability

Matching 401k

Discretionary performance bonus

20 days PTO

Paid parental leave

Job summary

BIP US is looking for Quantitative Python Engineers to support a high-profile Model Risk transformation program at a leading global investment bank. You will build next-generation model lifecycle systems using Python, Databricks, and MLflow, integrating modern AI-driven frameworks.

Your role includes designing automated governance frameworks and collaborating with various stakeholders. The position offers a salary range of $140,000 - $200,000, with a comprehensive benefits package including medical insurance, 401k matching, and PTO.

Qualifications

• 8+ years of experience in Python engineering / quantitative development.
• Strong hands-on experience with Databricks and MLflow.
• Experience building ML pipelines and distributed data workflows.

Responsibilities

• Design and build Model Risk platform components across the full model lifecycle.
• Develop Python-based data and ML pipelines using Databricks and MLflow.
• Collaborate with quantitative researchers, risk managers, and platform teams.

Skills

Python engineering

Databricks

MLflow

Cloud platforms (AWS, Azure, GCP)

ML pipelines

LLMs / agentic workflows

API-driven architectures

Event-driven systems

Job description

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 risk processes.
• 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
• Strong hands-on experience with 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
• Strong understanding of 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 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

• 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.
• Paid parental leave.
• Remote/hybrid work environment support.

For more information about BIP US, visit https://www.bip-group.com/en-us/.

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. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.