6 Database Developer jobs in the United Kingdom
Senior IT Database and Application Developer
Posted 170 days ago
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Job Description
We are recruiting for an experienced Senior IT Database and Application Developer. The role is permanent, full time with a hybrid working style. We are based in Billericay, Essex close to the train station and are required to work 3 days in the office and 2 days at home.
The role is offering up to £75,000 per annum dependant on experience along with a competitive benefits package
Supervision
Reports to and works under the administrative supervision of the Software Development Team Lead.
SummaryThe IT Database and Applications Developer is a member of the Software Development Team who are responsible for delivering platforms and solutions to the business and its clients.
The candidate is responsible for the development and maintenance of database dependent platforms and solutions, as well as the ongoing maintenance and management of the company’s database installations.
Working together with the IT Infrastructure Team, the IT Database Developer assumes responsibility for all aspects of database operation.
The candidate will also be expected to write and modify desktop applications and services. The main programming language used will be C#. A good knowledge of software and solutions architecture is required here rather than knowledge and experience of any specific programming language.
Essential DutiesAs part of a development team work on the construction of new functionality within the database layers to meet business requirements. Manage and improve existing functionality, identify and fix any defects. Keep up to date with latest developments in the industry and ensure solutions remain compatible so that future database upgrades are possible.
Carry out database administrative tasks such as user maintenance, audit log reviews, change control reviews, data archiving, performance measuring and monitoring.
Carry out routine patching to keep up to date with security threats and maintain compliance with security standards and policies.
Work with the Software Development Team Lead to ensure initiatives are delivered on time and to client satisfaction.
Develop and modify applications and services using C#/.Net/.Net core. There will be opportunities to develop in other languages, such as C++, Delphi, PHP. The candidate will be expected to contribute where required.
All development must be carried out to existing coding standards.
The candidate will be expected to act as a mentor and project lead for some of the more junior members of the team.
- Design and develop logical and efficient solutions based on understanding objectives and requirements
- Produce work of high quality with an emphasis on reliability, scalability and
- performance
- Develop solutions with an awareness of security and best practices
- Create technical documentation for solutions
- Participate in reviews/audits ensuring that compliance with regulations and accreditations are maintained
- Work with the Software Development Team Lead to deliver all company
Objectives
- Lead small projects and be the lead developer.
- Meet and exceed all company and individual goals in line with the Company’s
- policies, procedures, and values
- Any other reasonable duties as requested by management
Requirements
Required Experience and Qualities- Experienced IT professional with a strong technical background and knowledge
- Proven experience of the following:
- Microsoft SQL Server versions 2005 through to 2016/2019
- SQL Server Administration
- SQL Server Integration Services
- SQL Server Reporting Services
- SQL Server Analysis Services
- All aspects of database schema: tables. indexes, triggers, stored procedures and functions
- All aspects of SQL DML: select, insert, update, delete
- All aspects of SQL DDL: create, alter, drop, truncate
- All aspects of SQL TCL: begin transaction, commit, rollback, savepoint
- Experience or the willingness to learn MariaDB/ MySQL
- Experience in or the ability to learn to develop applications/service using Visual Studio on a Windows platform.
- Ability to understand high level requirements and expand on them
- Ability to work with a high level of responsibility and autonomy
- Flexibility in terms of working time with a priority on delivering critical business initiatives within agreed timeframes
- A good team player
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and requirements.
Lead Data Scientist - Financial Modeling
Posted 8 days ago
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Job Description
As the Lead Data Scientist, you will guide a team of talented data scientists, fostering an environment of collaboration and technical excellence. Your responsibilities will encompass the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. A deep understanding of machine learning algorithms, statistical modeling, and time-series analysis is crucial. Experience with financial markets, quantitative finance, and regulatory compliance is highly advantageous. You will leverage your expertise in Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, to build robust and scalable solutions. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also essential for handling large financial datasets.
We expect candidates to possess a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. A minimum of 6 years of relevant industry experience, with a proven track record in financial modeling and a leadership capacity, is required. Excellent communication and presentation skills are vital for conveying complex findings to both technical and non-technical stakeholders. You will be instrumental in shaping our data-driven strategy, providing actionable insights that enhance financial performance and operational efficiency. This is a unique chance to make a substantial impact in a globally recognized financial organization, working remotely.
Senior Data Scientist - Financial Modeling
Posted 9 days ago
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Job Description
Key Responsibilities:
- Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
- Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
- Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
- Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
- Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
- Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the growth and development of the data science team.
- Ensure compliance with all relevant regulations and data privacy standards.
- Contribute to the strategic roadmap for data science initiatives within the organization.
- Document all modeling processes, assumptions, and results thoroughly.
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
- Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
- Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
- Solid understanding of statistical concepts and methods.
- Experience with SQL and working with relational databases; experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Familiarity with financial industry regulations and data governance principles.
- Ability to work independently and effectively manage projects in a remote setting.
- Demonstrated ability to translate business problems into data science solutions.
Principal Insurance Data Scientist (Risk Modeling)
Posted 19 days ago
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Job Description
Lead Data Scientist - Financial Risk Modeling
Posted 1 day ago
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Job Description
Responsibilities:
- Lead the design, development, validation, and implementation of sophisticated risk models using statistical and machine learning techniques.
- Collaborate with risk management, compliance, and business units to identify key risk drivers and modeling requirements.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Stay updated on regulatory changes and industry best practices in financial risk management.
- Develop robust methodologies for model monitoring, performance evaluation, and recalibration.
- Extract, clean, and transform complex financial datasets from various sources.
- Present findings and model insights to senior management and regulatory bodies.
- Ensure model documentation is comprehensive, accurate, and compliant with regulatory standards.
- Evaluate and adopt new technologies and methodologies to enhance the firm's risk modeling capabilities.
- Champion data-driven decision-making across the organization regarding risk assessment.
Qualifications:
- Master's or Ph.D. in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative field.
- Extensive experience (7+ years) in financial risk modeling, with a proven track record of leading complex projects.
- Proficiency in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series forecasting), and deep learning.
- Strong programming skills in Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with SQL for data querying and manipulation.
- Solid understanding of financial products, markets, and regulatory frameworks (e.g., Basel Accords, IFRS 9).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management capabilities.
- Effective communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience with data visualization tools is a plus.
This is an exciting opportunity to shape the future of risk management within a forward-thinking financial organization, all while enjoying the flexibility of a remote work environment. Join us and make a significant impact.
Senior Data Scientist - Financial Risk Modeling
Posted 2 days ago
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Job Description
- Designing, building, and deploying sophisticated predictive models for financial risk assessment using machine learning and statistical techniques.
- Analyzing large, complex datasets to identify trends, patterns, and potential risk factors.
- Validating and monitoring the performance of existing risk models, implementing improvements as needed.
- Collaborating with risk managers, quants, and IT teams to integrate models into production systems.
- Developing new methodologies for risk measurement and stress testing.
- Communicating complex technical findings to non-technical stakeholders, including senior management.
- Staying current with regulatory requirements (e.g., Basel III/IV) and industry best practices in risk modeling.
- Mentoring junior data scientists and contributing to the team's technical growth.
- Researching and applying novel data science techniques to enhance risk management capabilities.
The ideal candidate will possess a Ph.D. or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, or a related field. Extensive experience in data science, with a strong focus on financial risk modeling within the banking or finance sector, is essential. Proven proficiency in Python or R, along with experience in SQL and big data technologies (e.g., Spark, Hadoop), is required. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Excellent understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques is mandatory. Strong communication and presentation skills are vital for presenting findings to diverse audiences. As this role is remote, you must demonstrate exceptional self-management and collaboration skills.
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