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Senior Quant Developer

3 months ago

London, Greater London, United Kingdom Experis LTD Full time

Job Title
:
Senior Quant Developer

Location
:
London (Hybrid Working - Travel to office is required)

Day Rate:
up to
£900 Inside IR35 via Umbrella
Duration
:6 months minimum with a high probability of extension

The Senior Quant Developer is responsible for
- design, build and implementation of GRA Traded Risk Quantitative libraries. The success of this library will be measured against the time to deployment, time of turnover on bugs, test KPIs
- delivery of a coding environment that is easy to use, is robust and can be fully re-used
- managing and reducing the time to develop new models with in Traded Risk
- work closely with GRA Quant Analysts, Risk IT and Front Office to create synergies across different functions and departments

Leadership & Teamwork

  • Work with all other areas within the TTOP Global Risk Analytics teams;
  • Foster a strong working relationship between the Quant Dev team and other stakeholder teams;
  • Liaise and work together with key stakeholders;
  • Demonstrate effective challenge to influence and ensure positive outcomes for the organisation.

Customers / Stakeholders

  • Traded Risk
  • Risk IT
  • GRA IT
  • Financial Risk Transformation
  • Front Office Traders and Quant Developers
  • Internal and External Audit

Knowledge & Experience / Qualifications (_For the role - not the role holder. Minimum requirements of the role.)_

Qualification:

Experience:

  • Demonstrable track record in toptier global bank.
  • Advanced knowledge of finance, particularly quantitative finance.
  • Extensive Experience of Risk and Valuation Models
  • Good understanding and appreciation of Regulatory requirements and audit requirements.
  • Experience of interacting with internal and external stakeholder groups (Business, Risk, Internal and External Audit, Compliance, Regulators).

Skills:

  • Strong interpersonal and communication ability.
  • Strong knowledge of Python and core python libraries like pandas and numpy
  • Strong knowledge in object oriented design, software architecture and algorithms.
  • Knowledge with software development lifecycle/methodologies.
  • Knowledge of Valuation, Risk and Analytics.
  • Knowledge of REST, gRPC, Apache Beam, Docker and Kubernetes is a nice to have