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Remote Quantitative Developer Intern Jobs in Washington

CPMC LLC

Sr. Developer

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Quantitative Management: Ability to determine process measures and track to determine process ...

CPMC LLC

Sr. Developer (USCB)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Quantitative Management: Ability to determine process measures and track to determine process ...

CPMC LLC

Sr. Developer (US Census Bureau)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Quantitative Management: Ability to determine process measures and track to determine process ...

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Remote Quantitative Developer Intern information

What does a Remote Quantitative Developer Intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

Is 30 too late to become a quant?

Becoming a quantitative developer at any age, including 30, is possible with strong skills in mathematics, programming, and finance. Many professionals transition into quant roles after gaining experience in related fields or acquiring relevant certifications like CFA or advanced degrees. Age is less important than technical ability and continuous learning in this field.

What are some common challenges faced by Remote Quantitative Developer Interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

How much do quant interns make?

Quantitative developer interns typically earn between $20 and $40 per hour, with annualized salaries ranging from approximately $40,000 to $80,000 depending on location, firm size, and experience. Compensation may also include benefits and opportunities for performance-based bonuses, especially in finance or tech environments that value strong programming and analytical skills.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts and developers, often referred to as quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve working with tools like Python, C++, or MATLAB. Internships and entry-level roles are also available for aspiring quants.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Developer Intern, and why are they important?

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

Is 30 an hour good for an intern?

For a remote quantitative developer intern, earning $30 an hour is above the average internship pay, which typically ranges from minimum wage to around $20 per hour. This rate reflects the specialized skills in programming, data analysis, and financial modeling often required for such roles. However, pay standards can vary based on location, company, and experience level.
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What cities in Washington are hiring for Remote Quantitative Developer Intern jobs? Cities in Washington with the most Remote Quantitative Developer Intern job openings:
Remote Quantitative Developer Intern jobs near you
Sr. Developer

Sr. Developer

CPMC LLC

Greenbelt, MD • Remote

$55.75 - $73.75/hr

Full-time

Posted 19 days ago

Job description

CPMC is seeking a Senior Developer for the United States Census Bureau's Disclosure Avoidance System (DAS), essential for safeguarding private information in the publicly released data from the 2020 Census. The DAS serves as the privacy-protection mechanism, processing the Census Edited File (CEF) with advanced privacy-preserving algorithms based on differential privacy to generate the Microdata Detail File (MDF). This role involves comprehensive support across the Application Engineering life cycle, including Application Engineering, DevOps, and Dashboard development.

The ideal candidate will be a senior, proactive full-stack software engineer experienced in managing infrastructure, CI/CD processes, cloud-native software development, and building and scaling web-based applications. We are looking for an individual who is adept at applying the latest design techniques, engaging in constructive discussions regarding their solutions, and demonstrating efficiency and thoroughness in the development and testing processes. This position is primarily remote but is based in the DMV area and is a full-time W2 employment role, requiring a Public Trust security clearance.

Responsibilities:

Primary responsibilities will focus on supporting development and successful execution of privacy enhancing technologies by the Science R&D team. Activities may include research of emerging languages/infrastructure/techniques, infrastructure automation/optimization, design, development, unit/verification testing, and documentation of code:

For ingesting, converting, and using input data

For creating the output and verifying the output matches specifications

Ensuring the successful execution and performance of a DAS run.

Additional engineering activities may include supporting/testing

Gurobi Optimizer setup and management

Spark setup, configuration and optimization

Implementation/optimization of fitness-for-use statistics (code quality metrics and reports).

Verify that external systems are set up, in place, and able to be accessed and utilized according to program specifications, prior to and after a DAS run.

Grafana dashboard development/maintenance

CI/CDREST API development

AWS optimization, integration, deployments and enhancements

Required Skills:

Python, JavaScript, Bash.

Kubernetes, containerization, helm

CI/CD Pipeline Development

Running, configuring and optimizing Spark applications

AWS: EKS, S3, RDS, EMR Lambda, Athena

Desired: R, SAS, STATA familiarity

Soft Skills:

Organizational Skills: Can plan and prioritize work. Follows tasks to their logical conclusion and makes sure that everything has been done to the right standard. Good attention to detail.

Team Work: Able to enthuse and maintain project interest. Comfortable working both individually and as part of a team. Prepared to challenge ideas within a group in a constructive way.

Leadership: Acute business acumen and understanding of organizational issues and challenges. Able to work effectively at all levels in an organization.

Communications: Ability to communicate clearly and efficiently to team members and clients, verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context. Excellent active listening skills.

Quantitative Management: Ability to determine process measures and track to determine process effectiveness and efficiency.

Problem Solving: Natural inclination for planning strategy and tactics. Ability to analyze problems and determine root cause, generating alternatives, evaluating and selecting alternatives and implementing solutions.

Results oriented: Able to drive things forward regardless of personal interest in the task.

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About CPMC-LLC

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Tysons Corner, VA, US

Year founded

2016

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