Quantitative Financial Analyst

Quantitative Financial Analyst

Location:Hybrid – Up to 3 days a week required in our office located in Mayfair, London

Contract:Permanent, Full time (48 hours per week)

Salary:£80,000 - £110,000 per annum (dependent on skills and experience)

Benefits:25 days leave + Bank holidays, Discretionary annual performance related bonus, Pension Plan, Cycle to work scheme

Business Overview

Our client is the world’s first (re)insurer underwriting energy price risk. They have developed innovative insurance products that protect producers and consumers of renewable power and transition fuels from adverse energy price volatility. Their vision is to be a world leading re(insurer) by accelerating decarbonization and the transition to renewable energy and sustainable fuels. 

They are a dynamic, innovative and sustainability focused company composed of world-class experts in energy, insurance, and technology who have evolved the traditional insurance business model to create a first to market solution.

Role Summary

Due to continued growth, they are now looking for an experienced and highly motivated quantitative financial analyst, ideally with a commodities background to join their pricing team.

You will be responsible for conducting quantitative analytics, modelling projects and risk assessments. You'll be working in the pricing team to evaluate, analyse and price energy insurance products using proprietary models. Innovation by collaboration is a key theme in the organisation and you will work in cross functional teams with the energy portfolio team, software engineers, finance and risk management.

The role would suit an experienced quantitative financial analyst looking for the opportunity to join a fast-growing Mayfair based highly innovative company that has developed industry transforming insurance products. A person who is comfortable working in a cross functional, dynamic, and unstructured environment with minimal supervision.

Commodities knowledge is highly desirable, and energy markets experience will be a significant advantage, however candidates with knowledge of other asset classes that demonstrate strong technical skills will also be considered.

Duties and responsibilities will include:

• Develop, implement and maintain quant models, modelling risk including validation, continual testing and performance evaluation and reviews

• Conducting rigorous data analysis to identify opportunities and risks

• Collaborating with the pricing team, finance, risk management to create, develop and enhance models

• Utilizing statistical and machine learning techniques to analyse large data sets

• Work closely with senior management and stakeholders of the model to effectively communicate findings, validate outcomes and make recommendations

Job Skills & Qualifications Required:

• Minimum 4 years of relevant experience in a similar role

• Advanced degree in Engineering, Mathematics, Physics, Finance, Economics, or a related field

• Knowledge in Commodities, ideally energy markets

• Proficiency in programming languages such as Python, MATLAB or C#

• Familiarity with financial software and tools (e.g., Bloomberg, Reuters, MATLAB, Excel)

• Strong quantitative and analytical skills with the ability to develop and implement complex models

• Experience building integrated financial models

• Rate curve interpolation

• Good knowledge of numerical methods and Monte Carlo valuation (e.g. variance reduction techniques, Greeks computation…)

• Experience of statistical methods – probability distributions

• Experience with data analytics, predictive modelling for risk assessment

• Experience of options pricing models

Skills that will help you succeed in the role:

• Ability to analyse large datasets and extract meaningful insights

• A team player able to work independently or in cross functional teams

• Problem solver comfortable solving complex quantitative challenges

• The ability to multi-task and work in a fast-moving environment

• A highly analytical mindset and results driven attitude

• Strong sense of ownership, responsibility and accountability

• A creative and innovative approach to work with a problem-solving mindset

• Excellent attention to detail and with a “can do” attitude

• Strong communication skills and the ability to explain complex concepts and adapt the level of complexity based on the competency of the stakeholders.

• Ability to deal uncertainty with the awareness and flexibility to learn

Nice to have (but not essential)

• Certifications such as a PhD, Master’s degree, CPA or CFA

• Experience in machine learning, data manipulation and algorithm

Additional Information:

• Interview process will have 4 stages and will include a modelling exercise

• Visa sponsorship is not available. Only candidates with valid right to work in the UK will be considered/shortlisted