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Quantitative Researcher – Macro Systematic Strategies

Eka FinanceLondon🇬🇧United Kingdom

Why this role stands out

This hybrid role offers an exciting opportunity to design and develop cutting-edge macro systematic trading strategies, leveraging advanced quantitative research and machine learning techniques in a dynamic environment. You will thrive here if you possess a strong background in macro asset classes and systematic trading, with a proven track record in quantitative research and a passion for identifying market inefficiencies. Apply now to join a forward-thinking team and make a significant impact in the world of quantitative finance.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLondon, United Kingdom
ArticulatePythonRisk ManagementMachine LearningData Analysis

Job description

Key Responsibilities:

  1. Design and develop systematic trading strategies with holding periods ranging from intraday to several weeks, with a focus on macro-driven relative value or CTA (Commodity Trading Advisor) approaches .
  2. Conduct in-depth quantitative research and signal generation using advanced statistical and machine learning techniques to identify inefficiencies in macro markets.
  3. Implement, back-test, and optimize systematic models to ensure robustness and adaptability to changing market conditions.
  4. Leverage extensive experience in macro asset classes and systematic trading to refine risk management and portfolio construction techniques.
  5. Stay ahead of market developments and advancements in quantitative finance, integrating cutting-edge methodologies into the research process.
  6. Work closely with trading, risk, and technology teams to align research insights with business objectives.
  7. Utilize Python and relevant data science/machine learning libraries to develop, test, and deploy strategies efficiently.

Qualifications & Experience:

  1. 5+ years of direct experience in macro systematic trading , with a proven track record in quantitative research or trading across commodities, FX, rates, or equity indexes .
  2. Strong background in mid to low frequency systematic strategies , particularly macro-focused relative value or CTA trading .
  3. Advanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering .
  4. Expertise in Python and proficiency in handling large datasets, statistical modeling, and machine learning techniques.
  5. Deep understanding of macro market dynamics, quantitative finance, and numerical techniques relevant to systematic trading.
  6. Strong problem-solving abilities and experience in handling complex data analysis and model development .
  7. Excellent communication skills, with the ability to articulate research findings to both technical and non-technical stakeholders.
  8. Ability to work effectively within a collaborative, high-performance research team.

This role offers the opportunity to apply macro systematic expertise within a cutting-edge quantitative research environment. If you have a strong background in macro systematic trading strategies and are passionate about developing innovative quantitative models, we encourage you to apply.

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