Mid Level Quantitative Jobs
Mid level quantitative jobs go to professionals ready to own analytical projects end to end, drive model-driven decisions with limited oversight, and mentor junior colleagues on methodology. Roles pull from Investment & Asset Management, Banking & Financial Services, and Technology & Software, with 19% offering remote or hybrid flexibility, and employers like JPMorganChase, Saragossa, and Trexquant Investment LP hiring at this level now.
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INTRODUCTION
We are seeking a dynamic, client-facing AI professional to join our Quantitative & Artificial Intelligence (AI) Solutions team. This role is built for a well-rounded consultant—someone who combines deep technical expertise in AI with the confidence, agility, and "athletic" delivery required to lead complex client engagements from strategy through execution.
You will work with some of the world's most iconic financial services institutions, partnering with senior stakeholders to solve their most complex quantitative and AI challenges. From defining enterprise AI strategies to deploying scalable AI solutions and shaping governance and risk frameworks, you will play a critical role in helping clients responsibly unlock the value of AI.
AI solutions span traditional AI and Machine Learning (ML), as well as Generative AI (GenAI), Large Language Models (LLMs), agent-based systems, and emerging AI capabilities.
You will bring hands-on AI experience and proven consulting leadership to help clients design, implement, and govern AI at scale. You will lead multidisciplinary teams, manage end-to-end engagements, and serve as a trusted advisor to executives navigating AI transformation.
ROLE AND RESPONSIBILITIES
- Advise clients on identifying and defining high-impact AI use cases aligned to business objectives.
- Partner with executive and technical stakeholders to prioritize AI initiatives based on value, feasibility, and risk.
- Lead the development of enterprise and domain-specific AI strategies and multi-year roadmaps.
- Guide clients through AI implementation—from concept to production—ensuring scalability, robustness, and long-term sustainability.
- Design and help deploy AI frameworks, infrastructure, and operating models.
- Build and orchestrate agentic workflows and AI-enabled processes to support both client solutions and internal business activities.
- Provide expert guidance on AI governance, policy, and responsible AI practices.
- Identify AI-related risks and design metrics, controls, and monitoring approaches.
- Support AI model evaluation, validation, and lifecycle management activities.
- Manage AI-focused consulting engagements from initial scoping through delivery and close-out.
- Coach, mentor, and review the work of consultants and senior consultants.
- Serve as a confident, credible, and compelling client-facing leader.
- Lead pursuits, proposals, and client presentations.
- Build and deepen long-term client relationships rooted in trust and delivery excellence.
MINIMUM QUALIFICATIONS
- Bachelor's Degree
- 5+ years of experience in AI, data analytics, quantitative analysis, model development/validation, or a related field
- Hands-on experience with AI solutions, including modeling, implementation, governance, and/or systems
- Experience in consulting or a similar advisory role, helping clients or senior business leaders identify, develop, and implement AI solutions
- Strong project management and stakeholder management skills
- Experience building executive-level relationships, understanding business needs, and identifying opportunities to deliver AI, digital, and business transformation solutions
PREFERRED QUALIFICATIONS
- Advanced degree (e.g., Masters or PhD)
- Relevant professional certifications such as:
- GARP: Risk and AI (RAI)
- US AI Institute: Certified Artificial Intelligence Scientist (CAIS)
- Other recognized AI or data science credentials
- Working knowledge of risk management lifecycles and established frameworks (e.g., NIST)
- Prior experience in consulting or professional service
INTRODUCTION
We are seeking a dynamic, client-facing AI professional to join our Quantitative & Artificial Intelligence (AI) Solutions team. This role is built for a well-rounded consultant—someone who combines deep technical expertise in AI with the confidence, agility, and "athletic" delivery required to lead complex client engagements from strategy through execution.
You will work with some of the world's most iconic financial services institutions, partnering with senior stakeholders to solve their most complex quantitative and AI challenges. From defining enterprise AI strategies to deploying scalable AI solutions and shaping governance and risk frameworks, you will play a critical role in helping clients responsibly unlock the value of AI.
AI solutions span traditional AI and Machine Learning (ML), as well as Generative AI (GenAI), Large Language Models (LLMs), agent-based systems, and emerging AI capabilities.
You will bring hands-on AI experience and proven consulting leadership to help clients design, implement, and govern AI at scale. You will lead multidisciplinary teams, manage end-to-end engagements, and serve as a trusted advisor to executives navigating AI transformation.
ROLE AND RESPONSIBILITIES
- Advise clients on identifying and defining high-impact AI use cases aligned to business objectives.
- Partner with executive and technical stakeholders to prioritize AI initiatives based on value, feasibility, and risk.
- Lead the development of enterprise and domain-specific AI strategies and multi-year roadmaps.
- Guide clients through AI implementation—from concept to production—ensuring scalability, robustness, and long-term sustainability.
- Design and help deploy AI frameworks, infrastructure, and operating models.
- Build and orchestrate agentic workflows and AI-enabled processes to support both client solutions and internal business activities.
- Provide expert guidance on AI governance, policy, and responsible AI practices.
- Identify AI-related risks and design metrics, controls, and monitoring approaches.
- Support AI model evaluation, validation, and lifecycle management activities.
- Manage AI-focused consulting engagements from initial scoping through delivery and close-out.
- Coach, mentor, and review the work of consultants and senior consultants.
- Serve as a confident, credible, and compelling client-facing leader.
- Lead pursuits, proposals, and client presentations.
- Build and deepen long-term client relationships rooted in trust and delivery excellence.
MINIMUM QUALIFICATIONS
- Bachelor's Degree
- 5+ years of experience in AI, data analytics, quantitative analysis, model development/validation, or a related field
- Hands-on experience with AI solutions, including modeling, implementation, governance, and/or systems
- Experience in consulting or a similar advisory role, helping clients or senior business leaders identify, develop, and implement AI solutions
- Strong project management and stakeholder management skills
- Experience building executive-level relationships, understanding business needs, and identifying opportunities to deliver AI, digital, and business transformation solutions
PREFERRED QUALIFICATIONS
- Advanced degree (e.g., Masters or PhD)
- Relevant professional certifications such as:
- GARP: Risk and AI (RAI)
- US AI Institute: Certified Artificial Intelligence Scientist (CAIS)
- Other recognized AI or data science credentials
- Working knowledge of risk management lifecycles and established frameworks (e.g., NIST)
- Prior experience in consulting or professional service
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Who's Hiring
Top Industries Hiring
- Investment & Asset Management17
- Banking & Financial Services8
- Technology & Software7
- Staffing & Recruiting2
- Consulting & Professional Services2
Mid Level Quantitative Jobs: Frequently Asked Questions
How do I get a mid level quantitative job?
Position your existing experience around ownership, not just execution. Highlight projects where you designed the methodology, interpreted results for stakeholders, or improved a model's performance. Applications that name specific techniques, tools, and measurable outcomes move faster through review. Tailor each submission to the responsibilities listed, not just the title, and prioritize roles that match the domains where you have the deepest applied experience.
Which companies hire mid level quantitatives?
Companies hiring mid level quantitatives right now include JPMorganChase, Saragossa, and Trexquant Investment LP, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of financial institutions, technology firms, consulting groups, and data-intensive consumer businesses that need professionals who can independently manage quantitative workflows.
Are there remote mid level quantitative jobs?
Yes, and the share is meaningful. About 19% of mid level quantitative openings are remote or hybrid as of November 2026, reflecting how broadly employers in this field have accepted distributed work for roles centered on modeling, analysis, and code-based deliverables. Filtering by work setting in your search helps narrow options quickly.
How do I move up to a mid level quantitative role?
The path from entry level to mid level is built on demonstrated ownership over time. Early-career quantitatives grow into mid level by taking on progressively larger projects, developing fluency in production-grade tools and methods, and building a record of work that influenced real decisions. Contributions to cross-functional initiatives, improvements to existing models, and informal mentorship of newer analysts all signal readiness for a more senior scope.
Which industries hire the most mid level quantitatives?
Mid Level quantitative roles concentrate in Investment & Asset Management, Banking & Financial Services, and Technology & Software, based on current listings on Migrate Mate as of November 2026. Those sectors generate sustained demand because their core operations depend on forecasting, risk modeling, pricing, or algorithmic decision-making that requires professionals who can work independently across the full analytical cycle.