Quantitative Analyst

2 weeks ago

Delhi, 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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