Quantitative Analyst [Energy Trading Analytics]
at DArcy Weil
Melbourne, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 05 Jul, 2024 | Not Specified | 05 Apr, 2024 | N/A | Modeling,Communication Skills,Programming Languages,R,Computer Science,Statistics,Trading Strategies,Mathematics,Time Series Analysis,Decision Making,Data Analysis,Professional Development,Quantitative Models,Financial Markets,Python | No | No |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
- Analyze market trends, develop models, optimize strategies.
- Contribute to continuous improvement of trading strategies.
- Great opportunity to develop your career in energy.
ARE YOU PASSIONATE ABOUT LEVERAGING DATA-DRIVEN INSIGHTS TO DRIVE STRATEGIC DECISION-MAKING IN THE TRADING DOMAIN? OUR CLIENT, A LEADING ENERGY COMPANY, IS SEEKING A SKILLED QUANTITATIVE ANALYST SPECIALIZING IN TRADING ANALYTICS TO JOIN ITS DYNAMIC TEAM. IF CANDIDATES THRIVE IN A FAST-PACED ENVIRONMENT AND POSSESS A STRONG BACKGROUND IN QUANTITATIVE ANALYSIS, THIS COULD BE THE PERFECT OPPORTUNITY.
As a Quantitative Analyst specialising in Trading Analytics, the successful candidate will play a pivotal role in analysing market trends, developing quantitative models, and providing actionable insights to optimize trading strategies. Working closely with cross-functional teams, they will contribute to the development and implementation of innovative trading algorithms and risk management frameworks.
REQUIREMENTS:
- Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Engineering, or related quantitative field.
- Proven experience in quantitative analysis, preferably in a trading or financial services environment.
- Proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling.
- Strong understanding of statistical techniques, time series analysis, and machine learning algorithms.
- Familiarity with financial markets, trading instruments, and risk management principles.
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Highly analytical mindset with a passion for problem-solving and continuous learning.
Benefits: Our client offers a competitive salary package with performance-based incentives, flexible work arrangements, opportunities for professional development, comprehensive health and wellness benefits, and a collaborative and inclusive work culture.
Responsibilities:
- Conducting quantitative analysis of market data to identify trading opportunities and risks.
- Developing and maintaining predictive models and algorithms to support trading strategies.
- Collaborating with traders, developers, and data scientists to implement and optimize trading algorithms.
- Performing backtesting and simulation analysis to evaluate the performance of trading strategies.
- Monitoring market conditions and assessing the impact on trading positions and portfolio risk.
- Providing quantitative support for decision-making processes and strategic initiatives within the trading team.
- Building and maintaining tools and dashboards for monitoring trading performance, risk exposure, and market dynamics.
- Researching and integrating new data sources and analytical techniques to enhance trading models and strategies.
- Conducting ad-hoc analysis and research projects to support decision-making processes and strategic initiatives within the trading team.
- Collaborating with cross-functional teams to integrate quantitative solutions into trading platforms and systems.
- Staying abreast of market developments, regulatory changes, and industry best practices in quantitative finance and trading analytics.
- Contributing to the continuous improvement of trading strategies and processes.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Financial Services
Analytics & Business Intelligence
Finance
Graduate
Mathematics statistics computer science engineering or related quantitative field
Proficient
1
Melbourne VIC, Australia