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Research Python Jobs in New York (NOW HIRING)

Duties * Writing Python code to express statistical ideas and relationships between securities ... Extending existing research tools to support novel use cases and needs, as well as designing and ...

Research Engineer

New York, NY · On-site

$150K - $250K/yr

Duties * Writing Python code to express statistical ideas and relationships between securities ... Extending existing research tools to support novel use cases and needs, as well as designing and ...

Research Analyst

New York, NY · On-site

$75K/yr

Walnuts adaptive Hamiltonian Monte Carlo---collaborate with CCM staff on the C++ core and Python ... Demonstrated understanding of basic research skills Experience * Knowledge of software engineering ...

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Research Python information

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What cities in New York are hiring for Research Python jobs? Cities in New York with the most Research Python job openings:
Research Engineer

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

We are looking for a research engineer to research, test, and deploy new trading strategies, as well as to design and build research infrastructure to test trading ideas.

Candidates focusing on strategy development should be strong quantitative problem solvers interested in identifying and monetizing statistical patterns in the financial markets and also adept at implementing their ideas in Python. We are looking for someone who is both intellectually curious and also self-sufficient to help maintain and develop various trading strategies.

Candidates with software implementation skills and comfort in implementing both performant code and designing user-friendly tools will also be strongly considered. We are looking for someone who is effective at building usable software quickly and correctly to extend the scope of our quantitative research and coverage of our trading strategies.

Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes.
Duties
  • Writing Python code to express statistical ideas and relationships between securities
  • Coming up with and iterating upon novel ideas and hypotheses about market participants and dynamics
  • Collaborating with teammates on new trading ideas
  • Extending existing research tools to support novel use cases and needs, as well as designing and implementing new tools to support research and trading needs
Qualifications
  • Bachelor's in computer science, mathematics, physics, or similar field, with strong familiarity with statistics and quantitative problem-solving
  • Self-sufficient ability to implement statistical ideas in code
  • Strong familiarity with Python and C++ (or equivalent) preferred
  • Interest in financial markets or learning more about financial markets
  • Previous experience in quantitative finance or trading is a plus, but is not required
Benefits
  • Catered meals and bountiful snacks
  • Generous budget for home office equipment
  • Health / Dental / Vision / 401k
  • Fitness and wellness benefits
  • Base compensation: $150,000-250,000 with additional discretionary annual performance bonus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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