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Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise. We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs. What's the role? As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market. You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision. We'll trust you to: Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3 years of programming experience in a development and/or production environment Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Understanding of data quality standard methodologies to improve the value of the dataset Proven track record of effective project management and a customer focused mentality We'd like to see: Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it) Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience designing optimal database structures Experience working in an Agile development team Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk
Job Description: Job Title Strats Lead Developer Location London Corporate Title Vice President Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Data Engineering team are responsible for the design, implementation, and operation of an automation framework across the Kannon platform which holds the inventory of data feeds (inbound and outbound) and controls, tracks and reports on data lineage, data quality, timeliness, and completeness of these feeds. As part of the Investment Bank/Risk, Finance and Treasury (IB/RFT) Data Office in GSA, you will be part of the Data Office team who are responsible for the data strategy in these business domains. You will partner with the Data Office team to understand the policies and guidelines that address regulatory and internal controls and lead the design and implementation of technical frameworks efficiently and responsibly to provide data and data metrics. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme 2 days' volunteering leave per year Your key responsibilities Define and agree the roadmap for delivery of data management, data quality, and data tracking frameworks Lead the design, implementation, and running of frameworks to control and validate data and data usage Work with a diverse set of data providers to ensure adoption of the data management framework Provide robust and transparent automated data transfer monitoring and metrics in line with the agreed Data Office Key Promoter Indicators (KPIs) Proactively engage in evolving the policies, KPIs, and technical frameworks in line with a changing regulatory data landscape Your skills and experience Deep understanding of process lifecycle flows in one or more of these divisions (IB/RFT) Strong experience of server-side development in C and Python (C VS 2019, Python 3.6/3.11) including Multi-Threading Good experience in Software Development Life Cycle (SDLC) and the technical tools to support that (Git, BitBucket, JIRA, Confluence, TeamCity) Experience of designing robust software frameworks and the ability to fit these into existing platforms Interest in data management and data governance with a focus on improving the control framework Excellent interpersonal and communication skills with the ability to explain complex details How we'll support you Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (for example. screen readers, assistive hearing devices, adapted keyboards) About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ inclusion. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.