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Quant Developer Telecommute Jobs in Pennsylvania

Quant Developer Telecommute information

What is the difference between Quant Developer Telecommute vs Quant Analyst?

AspectQuant Developer TelecommuteQuant Analyst
CredentialsTypically requires a degree in computer science, mathematics, or finance; programming skills essentialRequires a degree in finance, economics, or mathematics; strong analytical skills needed
Work EnvironmentRemote, often collaborative with teams via online toolsCan be remote or on-site; focuses on data analysis and modeling
Industry UsageUsed in hedge funds, investment banks, and trading firmsCommon in asset management, hedge funds, and financial institutions

While both roles involve quantitative skills, Quant Developers focus on building and maintaining trading algorithms and software, often working remotely. Quant Analysts primarily analyze data and develop models to inform trading strategies, with more emphasis on research. The roles overlap in skills but differ in daily tasks and focus areas.

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

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

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

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

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

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

What cities in Pennsylvania are hiring for Quant Developer Telecommute jobs?

Cities in Pennsylvania with the most Quant Developer Telecommute job openings:

Senior Data Science Engineer Specialist - Data Scientist

Concurrent Technologies Corporation

Johnstown, PA • On-site, Remote

Full-time

Re-posted 21 days ago


Job description

SR DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST
Concurrent Technologies Corporation
Johnstown, PA or Telecommute
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: N/A
Employee Background Check Required
Concurrent Technologies Corporation (CTC) an independent, nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.
Key Responsibilities:
  • Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
  • Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
  • Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
  • Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
  • Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
  • Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
  • Design and execute A/B tests and other experiments to measure the impact of different initiatives.
  • Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.

Basic Qualifications:
  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
  • 3-5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
  • Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
  • Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
  • Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
  • Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.

Preferred Qualifications:
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
  • Experience with natural language processing (NLP) or other forms of text analysis.
  • Knowledge of experimental design and causal inference techniques.
  • Experience in research & development, government contracting, and/or highly regulated industry domains.

Why CTC?
  • Our teams at CTC are passionate and thrive on collaboration in a team environment.
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more!

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologies-corporation.breezy.hr/
Staffing Requisition: SR#2026-0087
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."
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