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Quant Developer Jobs in Maryland (NOW HIRING)

Bright MLS

Predictive & Agentic AI Engineer

Rockville, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

D. in a quantitative field is a plus. * AWS Certified Generative AI Developer - Professional certification or equivalent hands-on experience building autonomous agentic systems using Amazon Bedrock ...

New

Leidos

DevSec/Ops Engineer

Rockville, MD · On-site

$107K - $195K/yr

Experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions and demonstrating progressive technical development and ...

Leidos

Senior AI Engineer

Rockville, MD · On-site

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.

Leidos

Senior AI Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.

GEICO

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

Embed with product, engineering, and design leaders as a decision partner-framing ambiguous ... MS or PhD in a quantitative discipline. • Industry: Insurance or financial services experience.

Geico

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

Embed with product, engineering, and design leaders as a decision partner-framing ambiguous ... MS or PhD in a quantitative discipline. Industry: Insurance or financial services experience.

Addison Group

Mid-Level Full Stack Developer

Bethesda, MD · On-site

$65 - $67/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Position Title: Mid-Level Full Stack Developer Location: Bethesda, MD - 5 Days onsite - No ... Familiarity with quantitative finance or portfolio construction * Experience with financial data ...

Addison Group

Mid-Level Full Stack Developer

Bethesda, MD · On-site

$65 - $67/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Position Title: Mid-Level Full Stack Developer Location: Bethesda, MD - 5 Days onsite - No ... Familiarity with quantitative finance or portfolio construction * Experience with financial data ...

Leidos

Senior Software Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social ...

Leidos

Senior Software Engineer

Rockville, MD · On-site

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social ...

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Showing results 41-60

All JobsQuant Developer JobsQuant Developer Jobs in Maryland

Quant Developer information

See Maryland salary details

$95.1K

$164.7K

$251.9K

How much do quant developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quant developer in Maryland is $164,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $193,100.00 per year, depending on experience, location, and employer.

What is a quant developer?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

What are the key skills and qualifications needed to thrive as a quant developer?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is a quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++ and a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What does a quant developer do?

A quant developer designs and implements complex mathematical models and algorithms used for trading, risk management, and investment strategies in financial firms. They typically work with programming languages like Python, C++, or Java and collaborate closely with traders and analysts to develop automated systems. Strong quantitative skills, programming expertise, and knowledge of financial markets are essential for this role.

What are the most commonly searched types of Quant Developer jobs in Maryland?

The most popular types of Quant Developer jobs in Maryland are:

What are popular job titles related to Quant Developer jobs in Maryland?

For Quant Developer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in Maryland look for?

The top searched job categories for Quant Developer jobs in Maryland are:

What are popular job titles related to Quant Developer jobs in MD?

For Quant Developer jobs in MD, the most frequently searched job titles are:

Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Maryland as of August 2026, with employment types broken down into 7% Internship, 70% Full Time, and 23% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $164,728 per year, or $79.2 per hour.

Predictive & Agentic AI Engineer

Bright MLS

Rockville, MD • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Predictive & Agentic AI Engineer
Position Overview:
Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI solutions? If you have at least five years of hands-on experience in data science, combined with proven capabilities in building autonomous agentic workflows within the AWS ecosystem and Enterprise Agent Platforms, we have an exciting opportunity for you!
As a Predictive & Agentic AI Engineer, you will bridge the gap between traditional predictive modeling and state-of-the-art generative AI architecture. You will lead the development of advanced data-driven models and design autonomous, multi-agent workflows that solve complex business challenges, automate intricate workflows, and drive deep insights for our MLS subscribers.
Key Responsibilities:
  • Work with large and complex real estate data sets to extract meaningful insights and solve a wide array of challenging problems using advanced statistical, machine learning, and large language model (LLM) approaches.
  • Apply predictive and quantitative analysis, data mining, and experimentation to develop strategies for our product, reporting, and research teams.
  • Innovate, define, understand, design, and build prototypes of traditional ML models and autonomous, multi-agent AI systems to drive our product roadmap.
  • Architect and deploy robust AI Agentic workflows capable of task planning, recursive reasoning, tool usage, and self-reflection to automate complex real estate processes.
  • Hands-on development of end-to-end MLOps and LLMOps pipelines, including dataset curation, model training, prompt engineering, agent trace evaluation, testing, and production deployment.
  • Continuously refine and optimize traditional ML models and agentic architectures (e.g., via prompt optimization frameworks like DSPy) to maximize accuracy and minimize hallucinations.
  • Develop methodologies for evaluating both predictive model performance and generative agent compliance, utilizing A/B testing, cross-validation, and LLM-as-a-judge evaluation frameworks.
  • Partner with Product, Engineering, Research, and other cross-functional teams to translate business needs into scalable, secure AI-driven solutions.
  • Stay up-to-date with cutting-edge MLOps, LLMOps, and Agentic AI technologies.

Required Skills & Qualifications:
  • Experience: 5+ years of hands-on experience in data science, analytics, machine learning, and AI engineering.
  • Core Languages: Expert in SQL and advanced SQL, and highly proficient in production-grade Python.
  • Traditional ML Ecosystem: Proficient in frameworks, tools, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and Jupyter Notebook.
  • Agentic AI Frameworks: Proven experience building stateful, multi-agent workflows using LangChain, LangGraph, CrewAI, LlamaIndex Workflows, or the Microsoft Agent Framework.
  • Enterprise Agent Platforms: Hands-on experience using enterprise-grade agent development and orchestration platforms, specifically Dataiku (utilizing Dataiku LLM Mesh & Agent Hub) or Google Cloud's Gemini Enterprise Agent Platform (formerly Vertex AI Agent Builder) to build, run, and govern production-ready AI agents.
  • Integrations & Protocols: Solid proficiency with building API integrations, advanced Function Calling, and working with the Model Context Protocol (MCP) to seamlessly connect LLMs to external databases and software tools.
  • Data & Knowledge Retrieval: Strong data manipulation, wrangling, and mining skills paired with a deep understanding of Vector Databases (e.g., Pinecone, Qdrant, Milvus) and advanced Retrieval-Augmented Generation (RAG and GraphRAG).
  • AI Security: Deep understanding of LLM vulnerabilities, including prompt injection mitigation, jailbreak prevention, and the implementation of safety guardrails (e.g., Guardrails AI, NeMo Guardrails).
  • Cloud & Platform Expertise: Expert in AWS artificial intelligence/machine learning services, specifically AWS SageMaker and AWS Bedrock, Bedrock AgentCore, alongside Redshift, Comprehend, and Lex.
  • Observability: Familiarity with LLM tracing and observability infrastructure (e.g., LangSmith, Langfuse, or Arize Phoenix) to monitor and debug complex agent loops.
  • Soft Skills: Strong analytical mindset with excellent communication skills to convey intricate technical concepts and agent behaviors effectively to both engineering teams and non-technical business stakeholders.

Education:
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field.

Preferred Qualifications:
  • Master's degree or a Ph.D. in a quantitative field is a plus.
  • AWS Certified Generative AI Developer - Professional certification or equivalent hands-on experience building autonomous agentic systems using Amazon Bedrock Agents and Bedrock Flows.
  • Experience with serverless deployment architectures, including AWS Lambda or Glue jobs.
  • AWS Certified Solutions Architect or AWS Certified Machine Learning Specialty is a plus.

The salary range for this position is approximately $155,000 to $175,000, based on experience, skills, and qualifications. This position is also eligible for annual performance-based bonuses. Our comprehensive benefits package includes individual and family health, vision, and dental coverage, 401(k) plan with employer-matching, and Paid Time Off (PTO) and holidays.
It is the company's policy to recruit, hire, train and promote individuals, as well as to administer any and all personnel actions, without regard to race, color, religion, age, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, disability, genetic information, ancestry, military status or any other unlawfully prohibited characteristic in accordance with applicable laws

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