About the Department
We are seeking a Junior Quantitative Trader based in Edinburgh to support trading activities across equities, FX, and cash instruments for UK markets. This hybrid role is execution and workflow oriented, with a mandate to streamline execution and trading operations using quantitative and analytics approaches.
Key Responsibilities
- Assist traders in executing cash equity and FX trades with a focus on best execution.
- Build a deep understanding of market structure and trading venues across markets.
- Monitor market conditions, liquidity, and execution quality across asset classes.
- Support daily cash and FX management activities as needed.
- Analyse performance of execution algorithms and trading strategies.
- Identify drivers of slippage, costs, and performance variance.
- Produce regular execution and performance reporting for traders and management.
- Improve trading workflows by utilizing internal systems, vendor data, and market data.
- Automate recurring analyses and reporting to improve desk efficiency.
- Work with large trade‑oriented datasets to extract actionable insights and improve executions.
- Partner with technology, data, and trading teams to streamline processes.
- Support trade monitoring, reconciliations, and exception handling.
- Assist with adherence to internal risk, compliance, and control frameworks.
Qualifications
- Degree in finance, economics, mathematics, engineering, computer science, or related quantitative or technical fields with relevant quantitative experience.
- Strong interest in financial markets and trading.
- Proficiency in Python (or similar language) for data analysis and automation.
- Experience working with large datasets and multiple data sources.
- Strong analytical and problem‑solving skills.
- High attention to detail and ability to work in a fast‑paced trading environment.
- Preferred: Exposure to asset management or trading knowledge.
- Preferred: Familiarity with market microstructure concepts and transaction cost analysis (TCA).
- Preferred: Experience with SQL, APIs, or market data vendors.
- Preferred: Experience in machine learning and AI models, Power Automate, and cloud database technologies.
- Preferred: Internship or prior experience in asset management and/or trading.
Equal Opportunity Statement
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
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