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Senior Quantitative Analyst

2 months ago


San Francisco, California, United States Unreal Gigs Full time
Unlock the Power of Data-Driven Insights

At Unreal Gigs, we're on a mission to harness the full potential of data-driven insights to drive business growth and innovation. As a Senior Quantitative Analyst, you'll play a key role in shaping our data strategy and delivering actionable insights that inform business decisions.

Key Responsibilities:
  • Quantitative Analysis: Conduct advanced quantitative analysis to derive insights from large and complex datasets, using statistical techniques, mathematical models, and machine learning algorithms.
  • Model Development: Develop and implement predictive models, forecasting models, and optimization models to support business decision-making, using techniques such as regression analysis, time series analysis, and machine learning.
  • Statistical Modeling: Apply statistical techniques such as hypothesis testing, regression analysis, and factor analysis to analyze data and derive actionable insights.
  • Programming: Utilize programming languages such as Python, R, or MATLAB to perform data analysis, develop models, and automate processes.
  • Data Visualization: Create clear and compelling visualizations to communicate analysis results and insights to stakeholders, using tools such as Tableau, Power BI, or matplotlib.
  • Risk Assessment: Conduct risk assessments and scenario analysis to evaluate potential risks and opportunities, and develop strategies to mitigate risks and maximize returns.
  • Performance Monitoring: Implement tracking and monitoring mechanisms to assess the performance and impact of quantitative analysis initiatives, proactively identifying opportunities for improvement.
  • Collaboration: Collaborate closely with cross-functional teams, including business stakeholders, data engineers, and software developers, to understand requirements and deliver quantitative analysis solutions that meet business needs.
  • Documentation and Reporting: Document analysis methodologies, findings, and recommendations in clear and concise reports, ensuring transparency and reproducibility of results.
  • Mentorship and Development: Mentor and coach junior analysts, providing guidance, support, and opportunities for skill development and career growth, and foster a culture of continuous learning and improvement within the team.
Qualifications:
  • Master's or Ph.D. degree: In Mathematics, Statistics, Economics, Computer Science, or related field.
  • Experience: 5+ years of experience in quantitative analysis, with a focus on statistical analysis, modeling techniques, and programming.
  • Skills: Proficiency in statistical analysis software such as SAS, SPSS, or Stata, and programming languages such as Python, R, or MATLAB.
  • Strong quantitative and analytical skills: With experience in hypothesis testing, regression analysis, time series analysis, and machine learning.
  • Excellent communication and collaboration skills: With the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and attention to detail: With the ability to analyze complex datasets and derive actionable insights.
Benefits:
  • Competitive salary: The industry standard salary for Senior Quantitative Analysts typically ranges from $150,000 to $200,000 per year, depending on experience and qualifications.
  • Comprehensive benefits package: Including health insurance, retirement plans, and wellness programs.
  • Flexible work arrangements: Including remote work options and flexible hours.
  • Generous vacation and paid time off: To ensure work-life balance and recharge.
  • Professional development opportunities: Including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment: With access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture: With opportunities for growth and advancement.
  • Exciting projects: With real-world impact at the forefront of quantitative analysis.