Data Modeling Expert
7 days ago
About Unreal Gigs:
We are a dynamic company that offers cutting-edge data analysis solutions. Our team is comprised of highly skilled professionals dedicated to delivering exceptional results.
Salary Range: $100,000 - $140,000 per annum
Job OverviewThe Quantitative Analyst position at Unreal Gigs is designed for individuals who excel in data-driven environments. As a key member of our team, you will be responsible for developing and refining quantitative models to drive strategic investment decisions.
Key Responsibilities- Model Development and Testing: Design and build complex models for risk assessment, pricing, and investment strategies. Conduct rigorous backtesting and optimize models for accuracy and performance.
- Financial Market Analysis: Conduct in-depth analyses of financial markets, identifying trends, correlations, and anomalies. Provide insights that support trading strategies and portfolio optimization.
- Statistical and Machine Learning Techniques: Apply advanced statistical methods and machine learning algorithms to analyze large datasets. Extract valuable insights using techniques such as regression analysis, time-series forecasting, and clustering.
- Collaboration and Strategy Development: Work closely with investment teams and risk managers to align quantitative models with strategic objectives. Contribute to decision-making processes and advise on model-driven strategies.
- Model Maintenance and Improvement: Monitor model performance and recalibrate as needed to adapt to market changes. Implement feedback loops and monitor for model drift to ensure ongoing reliability.
- Data Analysis Automation: Develop scripts and workflows to automate data analysis and streamline reporting. Utilize programming languages like Python or R to make quantitative processes more efficient.
- Quantitative Modeling Expertise: Strong knowledge of building and testing quantitative models, with expertise in statistical methods, time-series analysis, and financial modeling.
- Programming and Scripting: Proficiency in Python, R, or MATLAB for data analysis, modeling, and automation. Familiarity with SQL for data extraction and manipulation is also essential.
- Financial Market Knowledge: Understanding of financial markets, asset classes, and trading strategies. Ability to interpret economic indicators and their impact on market dynamics.
- Analytical and Problem-Solving Skills: Proven ability to approach complex problems analytically and develop data-driven solutions. Capability of conducting in-depth research and analysis.
- Communication and Presentation: Strong written and verbal communication skills to present findings and explain complex models to non-technical audiences.
- Educational Requirements: Bachelor's or Master's degree in Quantitative Finance, Economics, Statistics, Mathematics, or a related field. Equivalent experience in quantitative analysis or finance may be considered.
- Certifications: Certifications in quantitative finance or risk management (e.g., CFA, FRM, CQF) are advantageous.
- Experience Requirements: 3+ years of experience in quantitative analysis or data modeling, with a proven track record of building impactful models.
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
- Work-Life Balance: Flexible work schedules and telecommuting options.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
- Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
- Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
- Tuition Reimbursement: Financial assistance for continuing education and professional development.
- Community Engagement: Opportunities to participate in community service and volunteer activities.
- Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
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