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Tier-1 brand, remote role, and generalist data analyst title drive high applicant competition.
Core data analysis skills are transferable, though finance domain knowledge increases specificity moderately.
Basic degree and Python/Excel requirements create moderate shortlisting filters.
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Provide analytical support and assist trading teams across US and European time zones in daily operations within Metals Markets.
Collaborate with global traders and analysts in UK, US, Australia, and Singapore to enhance trading processes.
Develop analytical models to improve trading capabilities of the team.
Minimum 6 months professional experience with a master's or bachelor's degree in finance, economics, engineering, computer science, or quantitative discipline.
Proficiency in MS Office and MS Excel.
Practical experience using Python for data analysis (e.g., pandas, NumPy).
Work Experience Required: Minimum 6 months professional experience.
Experience operating in dynamic, global financial market environments, especially commodities or metals markets.
Ability to provide time zone coverage and work collaboratively with multinational teams.
Technical proficiency in data analysis, emphasizing Python and Excel to support trading analytics.