Senior Quantitative Analyst - Python Programming (5-7 yrs)

Job Title : Senior Quantitative Analyst

Location : WFH

Employment Type : Full-Time (Contractual)

Experience Level : Senior

Company Overview :

Skugal Technologies Pvt. Ltd. is looking for a highly skilled Sr. Quantitative Analyst to join our Quantitative Department. We focus on designing, researching, and integrating cutting-edge quantitative trading strategies across the crypto market. This is an excellent opportunity for someone with a strong analytical and technical background who is passionate about the crypto-asset industry.

Role overview :

The Senior Quantitative Analyst will play a key role in researching, designing, backtesting, and integrating quantitative trading strategies across the crypto space. This role is essential in helping the company develop cutting-edge strategies that deliver value to users.

Key Responsibilities :

- Collaborate daily with the Data Science Manager to proactively initiate and lead major projects, contributing to new quant strategies.

- Have initiated several quant projects in the last 2 years, focusing on alpha generation

- Conduct independent research to develop at least 5 new trading or portfolio strategies per

quarter, focusing on measurable improvements.

- Successfully created and improved existing strategies but not always 5 per quarter due to trading engine and execution responsibilities. Currently running 2 active strategies in crypto.

- Continuously refine and enhance existing quantitative strategies, with a goal of achieving at least a 10% improvement in backtest performance metrics annually.

- Regularly conduct back-tests and improved annual returns by more than 10% multiple times.

- Stay updated with the latest industry knowledge by attending conferences and integrating emerging technologies and methods into strategy development.

- Constantly followed academic works and papers, attended one industry conference, developed reinforcement learning models for parameter optimization, and built a low-latency arbitrage engine with modern C++.

- Assist the product team to provide actionable data and strategies to users.

- Work closely with other team members in a remote-first environment to drive continuous

improvements in quant research and trading.

Key Competencies :

- Proficiency in Python and Data Science libraries (numpy, pandas, matplotlib, sklearn, pytorch...) , SQL and Databases, including Cloud databases with at least 5-7 years of experience

- 3 years of work experience in Quant, including alpha generation, portfolio construction, and risk management with exposure to machine learning, and preferably reinforcement learning

- Perfect knowledge of the digital assets market, including Blockchain and Investing.

- A higher degree (M.S. or equivalent) in Computer Science, Mathematics, Statistics & Probabilities, Operations Research, Optimization, AI, Data Science, or any related field

- Bonus points for experience in Cloud computing, AWS, GCP, Azure, Apache Airflow, and deployment, as well as Big Data and Cloud Data Lake.- 3 years of experience in software development in AWS and Azure

- Expertise in Quant theory and Statistical models, including Hypothesis testing, ANOVA,

Visualization, portfolio theory, market theory

- Strong analytical skills and ability to critique technical documentation.

- Passion for the crypto industry and investing.

- Self-motivated with the ability to work independently in a fast-paced environment.

- A deep understanding of quant theory and statistical models including hypothesis testing, ANOVA, portfolio theory, and market theory.expertise in statistical models, stochastic calculus,

Ito's Lemma, Staikov's MM model

- Ability to collaborate effectively in a remote-first work environment.

Requirements :

- 5 years of experience in alpha generation, portfolio construction, and risk management, using Python.

- To have a minimum MS degree and Professional Experience as a Quant Researcher or Quant Portfolio Manager. Professional experience as a Quant Researcher or Quant Portfolio Manager.

- Strong understanding of the digital assets market and fluency in quantitative strategies.

- A higher degree (M.S. or equivalent) in Computer Science, Mathematics, Statistics, or a related field.

- Proficiency in Python and Data Science libraries (numpy, pandas, matplotlib, sklearn, pytorch) and experience with SQL and cloud databases.

Bonus : Experience with cloud computing platforms (AWS, GCP, Azure), Big Data, and cloud data lakes.

Preferred Skills :

- Strong entrepreneurial mindset, with the ability to work autonomously.

- Proficiency in building alpha research strategies and end-to-end execution

The Ideal Candidate :

- Self-motivated : Displays an entrepreneurial mindset with the ability to work independently and take ownership of tasks.

- Analytical : Possesses strong analytical skills, with the ability to quickly evaluate new ideas and technical documentation.

- Passionate : Shows enthusiasm for the crypto-asset industry and is committed to upskilling in the crypto space.

- Self-organized : Can manage tasks in a remote-first work environment.