Senior System Engineer

3 days ago

London Area, United Kingdom Intelix.AI Full time

Senior Systems Engineer – Risk Systems & Data Analytics

Location: UK

Industry: Financial Services (Front Office/Trading, Risk Management)

Employment Type: Permanent

Up to £135 + B&B



Role Overview


An experienced Senior Systems Engineer with expertise in developing, optimizing, and supporting risk systems and performance analytics platforms. The ideal candidate will have strong hands-on development experience, deep understanding of financial risk metrics, and the ability to collaborate with cross-functional teams. This role focuses on real-time systems and advanced analytics tools in a high-pressure trading or investment environment.




Key Responsibilities



  • Develop, enhance, and maintain real-time risk management tools and frameworks.
  • Implement and integrate risk models (e.g., VaR, CVaR, stress testing) and performance attribution tools .
  • Collaborate with internal teams to align risk analytics platforms with trading and regulatory requirements.
  • Build and optimize data pipelines using SQL and Python to support high-frequency data processing.
  • Leverage advanced analytics techniques, including factor modeling, Monte Carlo simulations, and scenario analysis.
  • Design and deploy quantitative frameworks for portfolio optimization, risk exposure analysis, and performance reporting.
  • Support the integration of MSCI BARRA-ONE and similar vendor platforms for multi-asset risk modeling.
  • Work closely with trading desks, portfolio managers, and risk teams to develop tailored analytics solutions.
  • Act as the bridge between technology and business needs, ensuring scalability and efficiency.
  • Develop scalable, cloud-based solutions for financial risk analytics, ensuring robustness and real-time performance.
  • Employ best practices in CI/CD pipelines, containerization (e.g., Docker), and cloud infrastructure (e.g., Azure).



Key Skills & Qualifications



  • Proficiency in Python , SQL , and Django ; experience with R, C++, or MATLAB is advantageous.
  • Knowledge of financial APIs and platforms such as Bloomberg , FactSet , and MSCI BARRA-ONE .
  • Hands-on experience in building ETL pipelines , RESTful APIs , and real-time risk systems.
  • Strong foundation in quantitative modeling, including VaR , performance attribution , and factor-based investing .
  • Familiarity with portfolio optimization techniques (e.g., Black-Litterman, Markowitz).
  • Previous experience in front-office trading environments, particularly within investment banking or wealth management .
  • Ability to design analytics platforms that cater to both regulatory compliance and business efficiency .
  • Degree in a quantitative field (e.g., Physics, Economics, Mathematics).
  • Certifications in Quantitative Finance or Machine Learning are highly desirable.



Preferred Profile

  • Hands-on technical consultant, not too senior but with the ability to lead small teams.
  • Experience in investment banking , trading systems , or real-time risk platforms .
  • Strong focus on practical solutions, vendor integration, and cross-functional collaboration.


Offer

  • Competitive remuneration package.
  • Opportunity to work in a high-caliber team with cutting-edge technologies.
  • Career progression and development within a leading financial institution.



Note: Candidates with heavy quant-trading backgrounds without risk/performance focus are less suited for this role.

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