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Market Risk Business Analyst

Pran IT Consulting

London

On-site

GBP 80,000 - 100,000

Full time

30+ days ago

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Job summary

A leading IT recruiting firm is seeking a highly motivated Market Risk Business Analyst. The role focuses on leveraging analytical and programming skills to develop risk models and enhance the risk management framework. Candidates should possess strong experience in Python and a good understanding of market risk principles. The firm offers competitive compensation and a comprehensive benefits package.

Benefits

Health insurance
Dental insurance
Disability insurance
Paid time off

Qualifications

  • Understanding of market risk principles and methodologies.
  • Experience with financial modeling and derivatives pricing.
  • Solid understanding of time series analysis techniques and statistical modeling.

Responsibilities

  • Partner with traders to develop risk mitigation strategies.
  • Design and implement quantitative models to assess market risk metrics.
  • Build and maintain data pipelines for financial data ingestion.

Skills

Python
Analytical skills
Communication
Collaboration

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Finance, or a related field

Tools

SQL
Job description

Our client is seeking a highly motivated Market Risk Business Analyst to join their growing Risk Management team. In this role, you will play a critical part in identifying, measuring, and reporting market risk across trading activities and investment portfolios. You will leverage your strong analytical and programming skills to build and maintain robust risk models and data pipelines, ensuring the accuracy and efficiency of their risk management framework.

We are looking for a self-starter who can collaborate with other teams and communicate effectively with stakeholders.

Requirements

Responsibilities

  • Partner with traders, portfolio managers, and quantitative analysts to understand market risk exposures and develop risk mitigation strategies.
  • Design, develop, and implement quantitative models to assess Value at Risk (VaR), portfolio sensitivities, and other market risk metrics.
  • Utilize Python programming language and relevant libraries (Pandas, NumPy, SciPy) to manipulate, analyze, and visualize market data.
  • Build and maintain data pipelines for efficient ingestion, transformation, and cleansing of financial data from various sources.
  • Conduct back-testing and stress-testing exercises to assess the effectiveness of risk models and identify potential risk scenarios.
  • Generate clear and concise reports on market risk exposures, trends, and risk management activities.
  • Collaborate with IT teams to ensure the smooth functioning and integration of risk management systems with front-office applications.
  • Stay abreast of regulatory developments and ensure adherence to relevant market risk capital requirements.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Mathematics, Finance, or a related field.
  • Strong understanding of market risk principles and methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy).
  • Solid understanding of time series analysis techniques and statistical modeling.
  • Experience with building and maintaining data pipelines for financial data.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced, dynamic environment.
  • Experience with financial modeling and derivatives pricing.
  • Knowledge of SQL and database management systems (preferred).

Benefits:

We offer up to 100,000 GBP and a benefits package, including health insurance, dental insurance, disability insurance, and paid time off.

About the Company

We are a leading recruitment and IT services company working with a global IT services firm. We focus on connecting top IT talent with leading financial institutions. We partner with Fortune 500 banks and IT service providers, leveraging our deep industry knowledge to identify the most sought-after positions for highly skilled candidates.

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