Data Scientist, Parameta Solutions

**Group Overview**The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.**About Parameta Solutions**Parameta Solutions, the data and analytics division of inter-broker dealer TP ICAP, is a leading global provider of OTC Market Data. From pre to post trade, their solutions help clients manage complex markets more effectively.In May 2022, the firm became an FCA authorized benchmark administrator. This license has allowed the company to take on administration of the nine TP ICAP interest rate swaps benchmarks that were previously administered by Moorgate Benchmarks. In April 2023, the firm was also approved as an ESMA authorised benchmark administrator, making it the first IDB to administer OTC benchmarks and indices across Europe AND the UK.Central to Parameta’s purpose is partnering with clients to create true value. The team is focussed on helping clients navigate changing market conditions, not only by providing world-class proprietary data but also the analysis and insight that will fuel their strategies.**Role Overview**Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / entrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business. Role Responsibilities* Build python apps to query, analyze and combine financial datasets using a variety of computational techniques* Build dashboards to monitor and visualize application data* Support and further development of existing applications* Build quality control tools to ensure data quality across products**Experience / Competences**Essential* Master's or PhD in data science/mathematics/engineering or a related field.* Demonstrate experience in a Python Developer role* Knowledge of SQL* Experience working with large, complex data sets* Demonstratable problem solving skills* Experience with airflow, snowflake, docker, CI/CDDesired* Practical hands-on industry experiences working in a numerical/computational role* Works well with data engineering, product and sales teams in cross team collaborations* Experience with AWS/Azure/GCP cloud technologies* Experience with GenAI/machine learningSpecial Requirements* Working to a US/UK time zone* Working to hybrid work set up - 3x/week onsite* Work during holidays and occasional overtime***Role Band & Level:******Professional /5*** #PARAMETA #LI-ASO #LI-Hybrid **Company Statement**We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to