Jobs Details

  • Posted Date: 19-Nov-2024

Algorithmic Trading Intern (Python)

  • By Alumni Placement Officer Fizza Riaz
  • Internships
  • Neurog

Job Description: 
We are looking for a highly motivated Algorithmic Trading Intern with a strong foundation in Python to support our algorithmic trading team. This internship offers a unique opportunity to apply quantitative skills, develop trading algorithms, and enhance your knowledge of financial markets in a real-world trading environment.

Responsibilities:

  • Collaborate with senior team members to develop, test, and implement algorithmic trading strategies.
  • Assist in the creation and maintenance of trading systems, including data pipelines and execution modules.
  • Conduct research on market data and trading patterns to support algorithmic trading strategy development.
  • Support backtesting and performance analysis of trading strategies using historical data.
  • Write efficient Python code to analyze financial data and automate processes.
  • Assist in monitoring and troubleshooting trading algorithms in a simulated environment.
  • Document code, processes, and findings thoroughly for future reference.

Qualifications:

  • Strong proficiency in Python, with experience in libraries such as NumPy, pandas, and scikit-learn.
  • Basic understanding of financial markets, trading concepts, and algorithmic trading.
  • Familiarity with data analysis and statistical modeling techniques.
  • Experience with backtesting frameworks, machine learning, or financial time series analysis is a plus.
  • Knowledge of trading platforms (e.g., MetaTrader, QuantConnect, Binance) is a bonus.

Skills and Competencies:

  • Strong analytical and problem-solving skills.
  • Detail-oriented with a proactive approach to learning.
  • Ability to work collaboratively and adapt to a fast-paced environment.
  • Effective communication skills, both written and verbal.


Benefits:

  • Market Competitive salary
  • Monthly Travel Allowance
  • Monthly Lunch Allowance
  • Monthly Well-being Allowance & Employer’s contribution to EOBI Fund
  • Comfortable Workplace
  • Accessible Leadership

Application Process:

  1. Candidates must first apply via our Google Form, providing all required details and information for consideration.
  2. After submission, our team will review the applications and conduct an initial screening based on the candidate's qualifications and experience.
  3. Shortlisted candidates will be contacted for a screening call, where we’ll discuss the role, expectations, and assess the candidate’s fit for the position.
  4. Based on the outcome of the screening call, candidates will be invited for an onsite assessment and interview to further evaluate skills and cultural fit.
  5. After the interview process, feedback will be promptly shared with all candidates to keep them informed about their status.