Data Engineer As Quantitative Risk Model Developer
Vor 7 Tagen
Our main task is to coordinate access to the trading markets for our regional business units, to bundle the associated opportunities and risks and to provide innovative services.
Our core competences include portfolio strategies, risk management and data processing. In order to create equal opportunities for all, our positions can be filled on a full-time or part-time basis.ON Energy Markets GmbH team in Essen at the earliest possible date and apply online now as Quantitative Risk Model Developer - DevOps (f/m/d).
Your tasksEngage in a High-Impact Team Environment :
Thrive within a diverse, international team known for its collaborative spirit and innovation. ONs trading units quant risk function into a cutting-edge operation.
Craft comprehensive solutions from start to finish using MS Azure and Python, collaborating with risk quants to develop robust, scalable models.
Take charge of our MS Azure cloud infrastructure, data, and deployment pipelines. Your efforts will ensure our setup remains state-of-the-art, embodying best practices and excellence across the value chain.Play a crucial role in developing and enhancing quantitative risk models for our energy trading portfolios. Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model interactions.
A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline.
Python Proficiency:
Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive experience with Python best practices and cloud solution development, particularly with MS Azure, is essential.
Experience and strong interest in cloud solutions development with MS Azure, including infrastructure and pipeline setup, developing innovative solutions that are powerful, flexible, and easy to maintain.
Strong SQL abilities, with a preference for candidates with extensive Snowflake experience.Prior exposure to finance, energy trading, or related fields is advantageous.
A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable.
To keep you motivated and healthy we are offering you the following benefits:
To keep you motivated and healthy we are offering you the following benefits:
hybrid work model, flexible working times, sabbatical or additional vacation opportunities allowing great work-life balance Working from abroad :
up to 20 days in the European economic area Flat hierarchies:
interdisciplinary and very cooperative working style providing room for own ideas Modern work environment:
life-long independent learning making use of a broad range of opportunities working with the newest technology and state of the art trainings Family service support:
services in the areas of childcare, holiday care, nursing support or everyday assistance Nutrition & Health:
wide selection of fresh meals and drinks in our subsidized bistro and canteen as well as various health offers (e.
G.
physiotherapy, flu vaccinations, mental health) Corporate Benefits:
employee share program, pension scheme, employee discounts, special insurances (and much more)
A central location:
very good public transport connection, free parking and charging points for e-vehicles Individual mobility:
private car and bicycle leasingInklusionUns ist wichtig, Menschen mit Behinderung ein faires Bewerbungsverfahren zu ermöglichen, in dem sie ihr Bestes zeigen können.
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Essen, Nordrhein-Westfalen, Deutschland E Energy Markets GmbH VollzeitE.ON Energy Markets GmbHE.ON Energy Markets GmbH is a subsidiary of the E.ON Group based in Essen. Our main task is to coordinate access to the trading markets for our regional business units, to bundle the associated opportunities and risks and to provide innovative services. Our core competences include portfolio strategies, risk management and data...
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