Senior Quantitative Analyst - Risk Management

600001 Chennai, Tamil Nadu ₹130000 Annually WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote-first team, focusing on critical risk management functions within the Banking & Finance sector. This role is crucial for developing sophisticated models and methodologies to measure, monitor, and manage various financial risks. The ideal candidate will possess a strong quantitative background, advanced statistical modeling skills, and a deep understanding of financial markets and instruments. You will play a pivotal role in ensuring the firm's financial stability and compliance with regulatory requirements through robust risk assessment.

Key Responsibilities:
  • Develop, implement, and validate complex quantitative models for market risk, credit risk, and operational risk.
  • Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and identify risk patterns.
  • Design and build stress testing scenarios and backtesting methodologies to assess model performance and robustness.
  • Work closely with trading desks, portfolio managers, and other business units to understand their risk exposures and provide tailored analytical solutions.
  • Contribute to the development and enhancement of risk management systems and infrastructure.
  • Prepare comprehensive reports and presentations on risk metrics, model performance, and regulatory compliance for senior management and regulatory bodies.
  • Stay current with industry best practices, regulatory changes (e.g., Basel III/IV), and emerging trends in quantitative finance and risk management.
  • Collaborate with technology teams to implement and deploy models and analytical tools.
  • Mentor junior quantitative analysts and provide technical guidance.
  • Conduct ad-hoc analysis and research on specific risk-related topics as required.
Qualifications:
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
  • Proven experience as a Quantitative Analyst, Risk Analyst, or similar role within the financial services industry.
  • Expert proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
  • Strong understanding of financial instruments, markets, and various risk management frameworks.
  • Demonstrated experience in developing and implementing statistical models, including time series analysis, regression, Monte Carlo simulations, and machine learning techniques.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
  • Experience with data visualization tools and big data technologies is a plus.
  • Familiarity with financial databases and risk management software.
  • Ability to work independently and collaboratively in a remote environment.
This is a critical remote position for an expert quantitative mind, offering the opportunity to significantly impact the risk management strategies of a leading financial institution. If you are passionate about applying advanced quantitative techniques to complex financial challenges, we encourage you to apply.
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