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Insurance and Claims Assistant - Commodities, London
Our client is a leading Commodity focussed company based in central London. They seek an additional hire for the small, outgoing and very friendly team.
Job Summary
The candidate will be responsible for a variety of insurance and claim processes and documentation. Handling all activities from the initial claim notification to finalisation. Ensuring that the claims are dealt with cost effectively and to the highest standards. Liaising with recover agents, brokers, as well as third parties.
The candidate should have excellent communication skills, as well as the ability to perform successfully and efficiently under pressure. The role also requires someone that can consistently produce accurate work in a timely fashion, has excellent attention to detail and the ability to resolve problems independently.
Role Responsibilities
* Handling the claims process from initial notification to finalisation.
* Accurately assess and evaluate both simple and complex claims: policy liability, reserve calculations and final settlement values.
* Ensuring all claims are handled efficiently.
* Maintaining and developing both own technical knowledge and expertise of the Cargo Marine (CM) policy.
* Referring claim issues that can’t be resolved to the appropriate desk head and/or Operations Manager.
* Supporting and assisting the CM policy initiatives and projects as directed by the Operations Manager.
* Maintaining the in-house claims register and keeping data fully up to date for reporting to management.
* Managing and distributing the CM policy updates to the group.
* Responsible for the monthly warehouse inventory declarations to the broker, including assisting individual traffic team members to collate monthly inventory figures for submission.
* Validating monthly accounts sales turnover calculations, before submitting to the broker
Role Requirements
* Ideally, the candidate will have some previous claims experience and have worked with ports and warehouse claims or other transit related claims.
* Excellent communication skills (both verbally and in writing) with the ability to communicate internally and externally.
* High level of attention to detail.
* Must possess excellent IT skills, particularly MS Office (Word, Excel, PowerPoint), and the ability to learn internal systems
* Ability to handle multiple tasks in a fast paced and dynamic environment.
* Strong organisational skills and must be able to work under pressure.
* Must have the right to work in the
Senior Data Scientist - Energy Markets Digital Transformation, London
Our client, a global energy player, is offering a unique opportunity to be at the forefront of a digital transformation in the energy markets.
Our client's business is working at the intersection of markets and innovative technologies to bring about critically needed efficiency, security, & reliability to energy markets.
The successful candidate will be applying Data Science skills to directly shape the future of energy from one of the most significant businesses in the sector.
The Role:
The successful candidate will have extensive experience applying a range of machine learning models to a diverse set of data. You should enjoy moving beyond the theoretic confines of academia to applying your tradecraft in the real world and producing data driven products that will be used by significant players in the energy markets. The ideal candidate is precise and detail oriented.
Your responsibilities will include but are not limited to:
* Building & training virtual trading agents for energy markets, possibly using reinforcement learning & other techniques.
* Building data pipelines & structuring data flows.
* Modelling decentralized energy grid (microgrid) scenarios.
* Stress testing data models.
* Integrating analyses, data, and business processes by incorporating data science solutions in our applications.
* Clearly and objectively communicate results, as well as their associated uncertainties and limitations
They have an evolving portfolio of projects with opportunities to work on interesting and intellectually stimulating problems for the energy and commodities markets.
The Career Opportunity:
The team is small and elite, so you will need to thrive on freedom, trust and responsibility while being highly accountable. If it is of interest you may have the opportunity to grow into a leading position within our the team where you be responsible for the development of projects across a variety of products and technologies and communication with stakeholders. You should also be motivated to be an exemplar for best in class delivery, showing how the latest innovative processes, technology and tools can bring value to an existing global enterprise structure.
You will be working within flat hierarchies in a young and dynamic team with flexible working practices. You will benefit from a breadth of career enhancing opportunities, from interacting directly with users and stakeholders from the world’s leading energy companies and organisations, to picking up and running with new and disruptive technologies.
The team
They practice hands on innovation. Apps not white papers. They aim to deliver:
* organisational intelligence & value
* products & solutions to be scaled
* measurable & meaningful impact for the global energy & commodities markets
Knowledge & Skills:
* 3-5 years experience in data science/machine learning in a mix of academic research and practical application. Preference will be given to candidates with experience in reinforcement learning.
* Advanced degree in Computer Science, Statistics, Economics, or related quantitative field
* At least one core programming expertise, such as Python (iPython, NumPy, SciPy, Pandas) or R
* Basic knowledge of relational and non-relational data stores like Postgres, MySQL, MongoDB, etc.
* Experience with data mining, statistics & visualization
* Strong statistical knowledge and intuition, especially for applying analysis to real data
* Interest in energy markets
* Excellent personal organization and ability to prioritize and carry out multiple tasks
* Comfortable to work independently
* Must work effectively & collaboratively in a dynamic development environment
Technologies they like:
* Advanced statistics & statistical programming language like Python, R, and MATLAB
* Python and specifically Numpy, SciPy & Pandas, scikit-learn, TensorFlow, Theano
* Data stores like Postgresql, ElasticSearch, and various NoSQL alternative
Good to have experience:
* Major contributor at a top company with big data
* Individual research
* Significant experience at a top energy company or financial analytics company
* A GitHub account showing entrepreneurial yet practical initiative
* Ability to help a team to make realistic and achievable delivery commitments
* Ability to handle a high pressure environment
Appropriate candidates will be contacted within 24 working
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