Quantitative Data Analyst

at  Energi Danmark

Danmark, , Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate19 Oct, 2024Not Specified19 Jul, 2024N/AStatistics,Technical Qualifications,Python,Sql,TeamsNoNo
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Description:

Do you have a passion for financial markets, coding, and data analysis? Are you ready to be challenged by the fast-paced energy sector? If you thrive in a dynamic environment and have a keen interest in process optimization, market analysis, and strategy implementation, Energi Danmark may be the perfect place for you. Join our Asset Optimization & Balancing team as a Quantitative Data Analyst and become our expert in data.

TECHNICAL QUALIFICATIONS:

Proficient in Python and SQL
Experience in statistics and/or machine learning
Experience in handling and structuring large amount of data

PERSONAL SKILLS:

Creative, meticulous, and technically proficient with strong problem-solving skills
Team player with a proactive, result-oriented approach
Self-starter who adapts quickly to new challenges
Ability to communicate effectively across teams and maintain high-performance standards
Able to function in a small team with an informal atmosphere

Responsibilities:

Data Handling: Manage and quality check data, ensuring reliability and availability for our 24/7 trading setup
Market Analysis: Perform market analysis to provide actionable insights for decision-making
Process Optimization: Streamline and enhance our day-to-day data handling processes to improve efficiency and accuracy
Algo-Trading Setup: Further integration of our algo-trading setup
Strategy Implementation: Implement trading strategies and signals for both algorithmic and discretionary trading
Provide front-end solutions to make analysis and data easily accessible


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Marketing/Advertising/Sales

Marketing / Advertising / MR / PR

Marketing

Trade Certificate

Please send your resume application and graduation certificate including:

Proficient

1

Danmark, Denmark