Senior Aviation Modeller - London, United Kingdom - Vessels Value Ltd

Description

The company
VVAviation (VVA) is the world's first provider of daily updated Automated Valuation Model (AVM) driven aircraft values.

We allow our clients to get an objective, transparent and accurate view of the market together with deep data sets for their modelling and analytical needs.

VVA was born out of VesselsValue (VV), the world first daily updated AVM for commercial maritime vessels.

VV grew from a start up in 2011 to the leading maritime valuation provider employing over 250 people across 10 global offices.

VV's 700+ subscriber clients include major lenders, investors, owners, operators, regulators and advisors.

The current VVA team is comprised of 40 aviation market focused colleagues including analysts, researchers, market experts, developers, data scientists and sales.

We have now grown to the point where we are ready for a purely aviation market dedicated Senior Modeller who will in time build and manage a team.

VVA's current product suite was launched in January 2023 and is expanding.

We offer the opportunity to join an innovative and ambitious company with a start up mentality and the significant growth and reward opportunities this brings.

Overview of role

We are looking for an experienced detail orientated professional to adopt, own and further develop the model elements of our current product offering.

Over time, you have the opportunity to establish, expand and manage an independent purely aviation focused Modelling, Data Science and Machine Learning team.

You will ideally have well established project management and communication skills and a strong Mathematical or Data Science background both academically and with commercial experience.

An understanding of Automated Valuation Models (AVM's), Forecasting, Financial & Risk Modelling would be advantageous.


Key responsibilities

• Own the end to end process of the development of new and existing mathematical models and associated products.
• Carry out research and development with the goal of satisfying identified client need with digital products.
• Proactively seek and evaluate opportunities to automate processes, develop new products, identify new assets and evaluate new modelling techniques.
• Conceptualise, design, prototype, and test automated machine learning models
• Work with development, analyst, data, market expert and director teams to implement the models into client ready products
• Provide related internal and external support in internal and external client meetings, calls and potentially conference presentations, marketing and press.
• Manage projects and priorities using an Agile methodology.
• Documentation of models and associated tools.
• Communicate and present mathematical concepts and methodology both internally and externally.
• Deliver strategy to measure, monitor and improve model and related product performance.

Requirements:


Qualifications, experience, knowledge and skills desired

• 3+ years developing commercial predictive models using a variety of techniques.
• 1+ years management experience.
• BS, Masters or Doctorate in a relevant discipline such as Mathematics, Data Science or Statistics.
• Strong problemsolving ability.
• Experience of techniques such as Regression Analysis and Machine Learning.
• Experience of complex data engineering practices such as resampling, standardisation and normalisation.
• Strong communication skills to convey complex concepts to a wide range of internal and external (client) audiences.
• Strong technical skills, ideally proficient with Python and its data science and modelling packages (pandas, NumPy, scikitlearn, matplotlib/seaborn).
• Experience of working with Agile methodologies.
• Familiarity with software development life cycle practices.
• Experience accessing and combining data from multiple sources using SQL.
• Experience of working with and collaborating using version control e.g. Git.
• Demonstrable use of data visualisation packages such as PowerBI.
• Production of scientific/mathematical documents using LaTeX.
• Exposure to distributed cloud technologies, particularly AWS and Snowflake.
• Comfortable using Kanban type project management software, particularly Jira.
• Familiarity with the aviation industry would be beneficial.

Benefits

Salary and Benefits
We offer a competitive salary and benefits package depending on experience and qualifications.


Location

Stoke on Trent or central West London
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