Job Title: Senior Quant Developer
Location: London (Hybrid Working – Travel to the office is required)
Day Rate: up to £899 Inside IR35 via Umbrella
Duration: Till the end of December (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, 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:
- Masters in a quantitative subject;
Experience:
- Demonstrable track record in top-tier global bank.
- Advanced experience of application and software development.
- 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
Required skills
- Quant Analyst Developer Financial Engineering Python XVA
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