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Internship Quantitative Risk Modeler Jobs in Baltimore, MD

Aegon

Lead ALM Modeler

Baltimore, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply risk management techniques and procedures, including the company's mandated risk ... Bachelor's degree in a technical/quantitative discipline such as statistics, math, actuarial ...

Deloitte

Financial Risk Senior Consultant

Baltimore, MD · On-site

$115K/yr

... g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise in one or more Financial Risk domains: * Credit Risk: Underwriting and portfolio credit risk across products (e.g., PD/LGD/EAD modeling ...

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Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

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For Internship Quantitative Risk Modeler jobs in Baltimore, MD, the most frequently searched job titles are:

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The top searched job categories for Internship Quantitative Risk Modeler jobs in Baltimore, MD are:

Internship Quantitative Risk Modeler jobs near you

Quantitative Software Developer

Campbell & Company, LP

Baltimore, MD • On-site

Full-time

Re-posted 24 days ago

Job description

The Quantitative Software Developer (internally referred to as a Software or Research Engineer) contributes to the creation and implementation of research ideas and solutions through the design, development and maintenance of the firm’s proprietary research models and libraries. This includes the ability to understand and properly implement, test, refine and expand upon mathematical models using time series objects, basic statistics code, graphing functions, simulations, basic database queries, unit testing and reporting functions. The Quantitative Software Developer may also work in a cross-department capacity with colleagues from Market Data, Operations, Trading, and others.

There are multiple open Quantitative Software Developer roles within Campbell’s Research department. Applicants are considered for all opportunities, and the assignment for the successful candidates will be based on the fit and needs as assessed by the hiring managers.

Principal Responsibilities:

Development

• Develop internal applications and libraries using a variety of technologies and programming languages (primarily MATLAB, as well as Python, C/C++, SQL, etc.) following a defined development process.

• Gather requirements, implement, document, and test both new systems and enhancements to existing code.

• Apply domain and technical knowledge to improve efficiency and productivity.

• Take leadership in key technical initiatives.

• Mentor and coach colleagues in best practices of software development and project management.

Portfolio Oversight

• Develop expertise with technical aspects of production models and take responsibility for the successful and correct deployment of changes into production.

• Identify, propose, and lead development of improvements to monitoring, data visualization, and analytics capabilities.

Maintenance and Support

• Interface and work with users to analyze current procedures and proactively suggest process improvements.

• Monitor, support, and troubleshoot our live system of models and risk management system.

Continued Learning

• Keep up to date with industry trends and current technology, sharing knowledge with colleagues and suggesting improvements to senior leadership.

Required Qualifications

• Bachelor’s degree in Computer Science or related field

• Expertise in at least one common programming language (e.g., Python, Java, C#, C/C++, MATLAB, Ruby, Go, Rust)

• Knowledge of modern software development methodologies, best practices, and tools such as revision control, testing frameworks, build scripts/tools, issue/bug/defect tracking, collaborative tools

• Demonstrated leadership and/or project management experience

• Innate curiosity with a passion for applying technology to solve problems

• Strong mathematical and analytical skills

• Knowledge of relational database design and implementation

• Interest in financial markets and/or quantitative investing

• Excellent interpersonal skills and ability to succeed in a team-based collaborative environment

• Effective verbal and written communication skills

• Willingness to take on responsibility for systems and processes

• Strong attention to detail

Apply