Full-Time

Head of Quantitative Engineering

Posted on 11/21/2024

EDFT

EDFT

Senior, Expert

London, UK

Hybrid working arrangement.

Category
Quantitative Analysis
Algorithm Development
Quantitative Research
Quantitative Finance
Required Skills
Python
Git
C/C++
Requirements
  • Strong experience in a Commodities Quant organisation including energy derivatives pricing models, design and development of valuation libraries and infrastructure, deployment, systems lifecycle management, and infrastructure planning and operations.
  • Leadership experience in managing multiple, large, cross-functional teams or projects, and influencing senior level management and key stakeholders.
  • Requires exposure to multiple, diverse technologies and processing environments relevant to valuation tasks and the orchestration of these.
  • Knowledge of all components of valuation technology stack, business re-engineering principles and processes, and advanced knowledge of financial models and budgeting.
  • Experience on a quant team within a financial institution, ideally in a front office
  • Commodity pricing model development experience
  • Experience interacting with an ETRM / Trade repository building and caching a trade representation for multiple clients to access,
  • Good understanding of option pricing theory and associated numerical methods (Monte Carlo)
  • Knowledge of numerical optimization methods
  • Previous experience working within a trading operation, preferably energy or other commodity trading, with a full understanding of the trade life cycle would be beneficial
  • Understanding of financial products, preferably including derivative and option products, In addition familiarity with physically delivered commodities is desirable.
  • Mathematically minded with some exposure to financial mathematical theory
  • Strong C++ experience / Experience with C++ interop
  • Python in financial applications
  • Working experience with API and backend services deployed to cloud based environment
  • Experience with distributed architecture and modern CI/CD practices
  • Experience with database systems and messaging solutions
  • Source Control Management (GIT)
  • Build Management and Continuous Integration
Responsibilities
  • Manage the Quant Engineering Group ensuring that there is a high quality delivery of pricing models and valuation technology for the EDFT enterprise.
  • Engage with the business to assist them in understanding and defining their requirements for any systems and tools supported and provided by the group.
  • Provide technical advice to the business units by identifying the most appropriate valuation approaches, tools and processes for any given task.
  • Coordinate and communicate specific subject matter knowledge to the design and relevance of each project undertaken by the group.
  • Presentation of solution to executive stakeholders.
  • Discussion and refinement of solution with heads of desk, risk and control functions.
  • Engage with primary stakeholders to ensure requirements are adequately captured.
  • Manage the ownership for the multiple delivery the team is responsible for.
  • Ensure the delivery of any development work is progressing within the agreed timelines.
  • Promote and ensure that the company’s standards and best practices, including, but not limited to, documentation, testing and peer review are being maintained.
  • Monitor the use of appropriate technology, taking into consideration the company’s strategy and recommendations.
  • Ensure the full visibility of work undertaken via backlog of requests.
  • Ensure that the implementation of software engineering best practices and development of high quality code with appropriate test coverage is being followed.
  • Promote the refactoring and enhancement of existing components and solutions in order to standardise and reduce duplication.
  • Ensure detailed documentation is in place for the application/component features being developed.
  • Assist production operations team in testing, rollout and production support.
  • Ability to work in a fast-paced environment.
  • Be able to support and guide the further development of other desktop tools built by the quantitative development team.
  • Ensure that sufficient ownership of the development infrastructure required by the above tools and, whenever possible, the company’s standard toolset for source code repository, continuous build and deployment is adopted.
  • Foster the close working between development teams and the Quantitative Analytics Team (Model Development), ensuring guidance on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions is taking place.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A