_______________________
__________________
_______________________
______________________
_____________________
______________________
___________________
________________________
________________________
____________________
Job Description: Job Title Model Validation Manager Location London Corporate Title Vice President The Model Risk Management (MoRM) team provides independent oversight and governance of model analytics and their implementation into the risk architecture that drive valuation, risk and stress results. The algorithmic trading model validation team is responsible for the independent review and validation of models used within bank's algorithmic trading business across all asset classes. In the role you will independently review, analyse, validate and generate reports on a wide range of models in the bank's algo trading activities. As part of your role, you will be involved in innovative projects of building an automated test/analytics module and a monitoring tool for performance of trading algorithms and AI/ML models using open source tools (Jupyter notebook, Plotly/Dash). 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 Review, analyse and perform robust independent model validation for AI/ML and algo trading models. Active participation in technical training of junior team members and overseeing their model validation work. Perform model validation testing and derive conclusions leading to proper assessment of the model risk involved. The study the mathematical models used, implementation methods, products traded in these markets, and the associated risks. Present outcomes from reviews and studies in high quality reports to key model stakeholders, senior management and regulatory bodies Your skills and experience PhD qualification in numerate subject such as Mathematics, Physics or computer science. Exceptionally strong candidates with MSc/MPhil post-graduate qualifications or equivalent work experience will also be considered. Experience in technical Model Validation team or Front Office Quant role - preferably in the AI/ML or algo trading space. You have highly analytical skills, deep understanding of mathematical/statistical models and their implementation in finance. Experience to most recent advances in AI is a bonus. Experience in scientific programming and data visualization in Python or R. You have a hands-on-approach, good communication skills, you are able to work independently and help leading a technical team How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression 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 (e.g. 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.
Job Description: Job Title Model Validation Specialist Location London Corporate Title Vice President The Model Risk Management (MoRM) team provides independent oversight and governance of model analytics and their implementation into the risk architecture that drive valuation, risk and stress results. The algorithmic trading model validation team is responsible for the independent review and validation of models used within bank's algorithmic trading business across all asset classes. In the role you will independently review, analyse, validate and generate reports on a wide range of models in the bank's algo trading activities. As part of your role, you will be involved in innovative projects of building an automated test/analytics module and a monitoring tool for performance of trading algorithms and AI/ML models using open source tools (Jupyter notebook, Plotly/Dash). 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 Review, analyse and perform robust independent model validation for algo trading and AI/ML models. Perform model validation testing and derive conclusions leading to proper assessment of the model risk involved. The study the mathematical models used, implementation methods, products traded in these markets, and the associated risks. Present outcomes from reviews and studies in high quality reports to key model stakeholders and senior management Your skills and experience PhD qualification in numerate subject such as Mathematics, Physics or computer science. Exceptionally strong candidates with MSc/MPhil post-graduate qualifications or equivalent work experience will also be considered. Experience in technical Model Validation team or Front Office Quant role. You have highly analytical skills, deep understanding of mathematical/statistical models and their implementation in finance. Experience in scientific programming and data visualization in Python or R. You have a hands-on-approach, good communication skills, you are able to work independently and as a part of a larger team How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities e.g. Coaching and support from experts in your team A culture of continuous learning to aid progression 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 (e.g. 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.
Data Scientist - Hybrid/Bristol Job Title: Mid-Level Data Scientist Location: Hybrid/Bristol Remuneration: £50,000 - £60,000 per annum Contract Type: Permanent Responsibilities: Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability. Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities. Devise and implement data quality metrics and dashboards for monitoring, ensuring the fidelity and precision of ingested data. Collaborate closely with data scientists, engineers, and cross-functional team members in an agile development setting to meet project objectives and deadlines. Harness modern NLP techniques to enrich data comprehension and processing. Stay abreast of the latest advancements in data science and engineering to continuously refine our systems and methodologies. About Us: Situated in Bristol, UK, our client operates at the forefront of cyber risk assessment and management. Their pioneering strategies and exclusive models are reshaping the understanding and mitigation of cyber risk within the reinsurance sector. They are dedicated to excellence and innovation, positioning them as pioneers in their field. Why Join? Influence: Drive significant enhancements in our data ingestion capabilities, directly contributing to our efficacy in managing cyber risk. Innovation: Engage with state-of-the-art technologies and approaches in the realm of data science and engineering. Development: Access opportunities for professional growth within a nurturing and forward-looking environment. Culture: Become part of a cooperative, inventive team that values the contributions of each member toward our shared objectives. Qualifications: Experience: A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous. Education: A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills: Proficient in Python, SQL, PySpark, and Databricks. Demonstrated proficiency in modern NLP techniques and tools. Proven track record in developing and managing data quality metrics and dashboards. Experience collaborating within a cross-functional agile development team. Competence in utilising Git for version control. Industry Knowledge: Familiarity with the insurance sector and its associated data challenges is highly desirable. Soft Skills: Exceptional problem-solving abilities. Effective communication skills. Collaborative mindset. Perks: Hybrid work options. Health insurance coverage. Sponsored training opportunities. Employee discounts. We seek talented and seasoned Mid-Level Data Scientists passionate about sculpting sophisticated data ingestion pipelines. If you thrive in a dynamic, agile setting and possess a robust foundation in Python, Databricks, and SQL, we invite you to connect with us. Our office is conveniently located in the vibrant area of Broadmead, Bristol, with nearby parking at Mall Galleries just a 2-minute walk away. Bristol Temple Meads train station is also accessible within a 18-minute walk from our office. Join our esteemed organisation and contribute to our culture of innovation and foresight. Apply now and embark on the next phase of your career journey as a Mid-Level Data Scientist. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. KEYWORDS: Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data /