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Internship Python Quant Jobs in Washington (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate ... quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... quantitative field · 0-2 years of relevant experience (including internships, labs, or academic projects) · Foundational knowledge of Python or SQL · Understanding of basic data analysis and ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

... related quantitative field * Experience in data science, analytics, or a related technical ... internships may be considered) * Proficiency in programming languages such as Python or R

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

... related quantitative field * Experience in data science, analytics, or a related technical ... internships may be considered) * Proficiency in programming languages such as Python or R

KBR

Data Engineer

Chantilly, VA

$150K - $181K/yr

... related quantitative field * Experience in data science, analytics, or a related technical ... internships may be considered) * Proficiency in programming languages such as Python or R

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Quantitative Finance * Statistics * Experience analyzing real world data through coursework, thesis research, internships, or work experience * Ability to analyze data in Python or another Object ...

Level Up Llc

Data Scientist

Reston, VA · On-site

Quantitative Finance * Statistics * Experience analyzing real world data through coursework, thesis research, internships, or work experience * Ability to analyze data in Python or another Object ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Quantitative Finance * Statistics * Experience analyzing real world data through coursework, thesis research, internships, or work experience * Ability to analyze data in Python or another Object ...

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Internship Python Quant information

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What are the key skills and qualifications needed to thrive as an Internship Python Quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

Internship Python Quant jobs near you
Data Engineer

Data Engineer

Analytica

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago

Job description

Analytica is seeking Data Engineers across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.

The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.

Responsibilities include (but are not limited to):

  • Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
  • Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
  • Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
  • Collaborate with stakeholders to translate business requirements into technical data solutions
  • Ensure data quality, integrity, and performance through testing, monitoring, and optimization
  • Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
  • Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
  • Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
  • Experience working across cloud (AWS, Azure) or hybrid data environments 
  • Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
  • US Citizenship and must be able to obtain and maintain security clearance
  • Emerging / Junior Data Engineer:
    • Foundational knowledge of SQL and Python (or similar language)
    • Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
    • Understanding of basic data modeling and ETL/ELT concepts
    • Ability to work within established pipelines and contribute to data workflows with guidance
  • Mid-Level Data Engineer:
    • Hands-on experience building and maintaining data pipelines using Databricks and Spark
    • Strong SQL and programming skills (Python and/or Scala)
    • Experience designing data models and optimizing data processing workflows
    • Ability to independently deliver data solutions and troubleshoot performance issues
  • Senior Data Engineer:
    • Deep expertise in Databricks, Spark, and large-scale data processing architectures
    • Proven ability to design and implement scalable data platforms and lakehouse architectures
    • Strong experience with performance tuning, data reliability, and cost optimization
    • Ability to lead technical design, mentor team members, and influence data engineering best practices
    • Experience working cross-functionally to define data strategy and architecture
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:

  • Experience with Delta Lake and lakehouse architecture pattern
  • Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
  • Experience with data governance, cataloging, and lineage tools
  • Experience mentoring junior engineers or leading technical initiatives (senior level)
  • Relevant certifications in data engineering or big data technologies particularly in Databricks


About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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