Samco Mutual Fund - Quant Python Developer - Trading Systems (2-5 yrs)

Job Title : Quant Python Developer

Job Summary :

We are seeking a skilled and experienced Quant Python Developer to join our dynamic and innovative team. In this role, you will leverage your strong Python programming expertise to design, develop, and implement quantitative models and algorithms that drive data-driven decision-making in financial markets. The ideal candidate will possess a deep understanding of quantitative analysis, financial data processing, and software engineering best practices. You will work closely with cross-functional teams to support algorithmic trading strategies, risk management, and advanced data analytics initiatives.

If you are passionate about finance and technology and thrive in a collaborative, fast-paced environment, we would love to hear from you.

Key Responsibilities :

Quantitative Modeling & Algorithm Development :

- Develop, test, and deploy quantitative models and trading algorithms to analyze market data and enhance investment strategies.

- Collaborate with financial analysts and data scientists to design model frameworks that support business objectives.

Data Processing & Analysis :

- Work extensively with Python libraries such as Pandas and NumPy for data cleansing, transformation, and numerical analysis.

- Process large financial datasets efficiently, ensuring accuracy and completeness.

Data Visualization & Reporting :

- Create insightful and visually compelling reports using tools such as matplotlib and Plotly to communicate key trends, patterns, and insights to stakeholders.

Code Quality & Version Control :

- Write clean, modular, and well-documented code adhering to industry best practices.

- Ensure effective use of version control systems like Git and Bitbucket to manage collaborative development efforts.

Database Management :

- Work with both SQL and NoSQL databases (e.g., MongoDB) to store, query, and manage financial data.

- Optimize data retrieval processes to enhance application performance.

Research & Continuous Improvement :

- Stay updated with the latest advancements in quantitative finance, data science, and cloud computing to enhance existing models and methodologies.

- Recommend and implement improvements to existing quantitative frameworks.

Cross-functional Collaboration :

- Work closely with traders, financial analysts, data scientists, and technology teams to integrate quantitative insights into actionable business strategies.

- Participate in brainstorming sessions to identify new opportunities for data-driven solutions.

Key Requirements :

- Proven experience as a Quant Developer or Python Developer in a financial services or trading environment.

- Strong proficiency in Python with hands-on experience in quantitative model development.

- Solid understanding of financial markets, trading strategies, and risk modeling concepts.

- Experience working with large datasets and performing statistical analysis.

- Proficiency in working with SQL and NoSQL databases.

- Strong problem-solving skills with attention to detail.

- Experience working in an agile development environment is a plus.