الوصف الوظيفي
This role is for one of the Weekday's clients Salary range: Rs 3000000 - Rs 10000000 (ie INR 30 - 100 LPA) Min Experience: 2 years Location: NCR JobType: full-time We are seeking a highly analytical and driven Quantitative Trader to join our trading team.
This role is ideal for professionals with 2–4 years of experience who are passionate about financial markets, data-driven decision-making, and algorithmic trading strategies.
As a Quant Trader, you will be responsible for researching, developing, and executing systematic trading strategies across asset classes, leveraging quantitative models and advanced statistical techniques.
Key Responsibilities Design, develop, and implement quantitative trading strategies using statistical models and algorithmic techniques.
Conduct in-depth research on market trends, pricing inefficiencies, and trading signals using large datasets.
Analyze high-frequency and historical market data to identify profitable opportunities.
Collaborate with developers and data scientists to optimize trading systems and execution algorithms.
Monitor live trading strategies, evaluate performance, and make data-driven adjustments to improve returns.
Manage risk by implementing robust risk controls, position sizing models, and portfolio optimization techniques.
Continuously refine models by incorporating new data sources, machine learning techniques, and market insights.
Ensure trading strategies comply with regulatory requirements and internal risk guidelines.
Required Skills & Qualifications 2–4 years of experience in quantitative trading, algorithmic trading, or a related role.
Strong understanding of financial markets, including equities, derivatives, FX, or commodities.
Proficiency in programming languages such as Python, C++, or Java for strategy development and backtesting.
Solid knowledge of quantitative methods including statistics, probability, linear algebra, and time-series analysis.
Experience with data analysis tools and libraries (e.
g., Pandas, NumPy, SciPy).
Familiarity with machine learning techniques and their application in trading is a plus.
Strong problem-solving skills with the ability to work with complex datasets and extract actionable insights.
Understanding of market microstructure and execution strategies is preferred.
Behavioral Competencies Analytical mindset with a strong attention to detail.
Ability to work in a fast-paced, high-pressure trading environment.
Strong communication skills for articulating complex quantitative concepts to cross-functional teams.
Self-motivated with a continuous learning attitude toward evolving market dynamics and technologies.
High level of integrity and discipline in decision-making.
Education Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
