Quantitative Analyst

2 weeks ago

India Stellar Hunters Full time

Job Summary

We are seeking an experienced Quantitative Analyst to design, implement, and optimize mathematical models and algorithms for financial analysis and decision-making. This role is integral to ensuring the delivery of accurate, actionable, and innovative insights, leveraging large-scale data and advanced quantitative techniques. The ideal candidate will work closely with data scientists, machine learning engineers, and financial analysts to develop frameworks that drive impactful results.

KEY ACCOUNTABILITIES & ACTIVITIES

Model Design and Development

  • Develop proprietary algorithms and scoring systems incorporating fundamental, technical, and sentiment factors.
  • Create predictive models to evaluate performance trends and uncover actionable insights.
  • Collaborate with technical teams to integrate models into platforms or decision-making tools.

Quantitative Research

  • Conduct in-depth research into financial markets, trends, and patterns using large-scale data.
  • Investigate and apply advanced techniques, including statistical modeling and machine learning, to enhance analytical capabilities.
  • Evaluate and incorporate relevant academic and industry advancements.

Data Analysis and Insights

  • Analyze complex datasets, including financial, economic, and sentiment data.
  • Perform statistical analyses and hypothesis testing to validate model performance and assumptions.
  • Provide actionable insights that support strategic decision-making.

Optimization and Validation

  • Conduct sensitivity analyses to ensure model robustness under various scenarios.
  • Perform backtesting of models to validate predictive accuracy and refine parameters.
  • Optimize algorithms to improve efficiency, scalability, and accuracy.

Collaboration and Reporting

  • Work with data engineers to ensure clean, reliable, and scalable data pipelines.
  • Partner with product and business teams to align quantitative tools with user needs and organizational goals.
  • Present findings and complex analyses in a clear, concise manner to technical and non-technical stakeholders.

Advanced Quantitative Modeling

  • Develop and refine advanced mathematical models to evaluate financial instruments, portfolios, and market behavior.
  • Incorporate risk-adjusted performance metrics into ranking and scoring systems.

Scenario Analysis and Stress Testing

  • Perform scenario-based analysis to predict performance under various economic conditions.
  • Conduct stress testing to identify vulnerabilities in algorithms or investment strategies.

Market Sentiment and NLP Integration

  • Collaborate with NLP specialists to incorporate sentiment analysis from social media, news feeds, and financial reports.
  • Quantify the impact of sentiment on market performance and stock valuation.

Data Quality Assurance

  • Monitor data quality and address inconsistencies or inaccuracies in datasets used for modeling.
  • Develop processes for real-time validation and correction of data inputs.

Visualization and Reporting

  • Create advanced visualizations (e.g., heatmaps, interactive dashboards) to present quantitative findings to stakeholders.
  • Design user-friendly reporting templates for both technical and non-technical audiences.

Algorithm Monitoring and Maintenance

  • Monitor the performance of deployed algorithms in real-time and address inefficiencies or bugs.
  • Develop a robust system for continuous improvement based on user feedback and market changes.

Customization and User-Specific Solution

  • Develop modular, customizable algorithms that can cater to diverse user requirements.
  • Provide insights and tools that align with varying investment goals and risk appetites.

Technology Recommendations

  • Evaluate new tools, frameworks, and APIs for potential integration into the analytics pipeline.
  • Recommend updates or replacements for outdated tools to improve efficiency and accuracy.

Feature Development Support

  • Participate in the ideation and development of new features for financial analysis platforms.
  • Provide quantitative frameworks and test cases for new features before deployment.

Innovation and Continuous Learning:

  • Stay updated on the latest advancements in quantitative finance, data science, and AI/ML technologies.
  • Explore and propose innovative approaches to improve analytical processes and tools.
  • Contribute to the strategic development of quantitative methodologies.

Other:

  • The Quantitative Analyst is expected to perform other job-related duties as instructed by the management.


COMPETENCIES

Core

  • Quantitative Modelling : Expertise in mathematical and statistical modelling for stock ranking and predictive analytics.
  • Programming : Advanced proficiency in Python or R for analysis and SQL for database management.
  • Data Handling : Strong ability to process, clean, and manage large-scale financial datasets.
  • Machine Learning Basics : Familiarity with supervised/unsupervised learning and ML frameworks like TensorFlow.
  • Financial Analysis : In-depth knowledge of financial metrics, technical indicators, and risk management.
  • Mathematical Proficiency : Expertise in probability, statistics, linear algebra, and optimization techniques.
  • Visualization Tools : Proficiency in creating data visualizations using tools like Tableau or Matplotlib.
  • Algorithm Design : Experience in developing and optimizing proprietary financial algorithms.

Soft

  • Analytical Thinking : Strong ability to break down complex problems and find innovative solutions.
  • Communication : Excellent skill in explaining technical concepts to non-technical stakeholders.
  • Collaboration : Proven ability to work effectively with cross-functional teams.
  • Problem-Solving : Demonstrated capability to address challenges with creative and practical solutions.
  • Adaptability : Flexible and able to thrive in a fast-paced, dynamic environment.

Languages

  • English (Advanced Proficiency)

JOB SPECIFICATIONS

Industry / Domain

Tech Start-ups/ Investment Firms/ Investment Banking (Preferred)

Necessary Knowledge and Experience

  • 3+ years of experience in quantitative analysis, financial modeling, or algorithm development in fintech, trading, or asset management.

Education and Certification Requirements

  • Bachelor’s or Master’s degree in Quantitative Finance, Financial Engineering, Statistics, Applied Mathematics, or a related field.

KEY PERFORMANCE INDICATORS

  • Accuracy and robustness of developed models and algorithms.
  • Timeliness and quality of delivered analyses and recommendations.
  • Impact of quantitative tools on decision-making and business outcomes.
  • Efficiency of model optimization and backtesting processes.
  • Contribution to innovation and continuous improvement in quantitative methodologies.

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