Job details

Data Scientist

About the Role

We are seeking a data scientist who loves to face new challenges, build solutions from the ground up, and constantly develop with the latest technology. You should be passionate about digging through data, looking for insights, uncovering trends, collaborating with your peers, delivering models, communicating the results, diving into emerging technology domains, and constantly bringing new and exciting ideas to the team. You will interact with a multidisciplinary team of software developers, product managers, and engineers all over the world to tackle interesting problems in a wide variety of financial domains.

Who We Are

Finastra’s Global Innovation Lab was founded on a simple idea: to push technology boundaries and build the future of finance. From ideation to proof of concepts to fully productized models, the Innovation Lab team is responsible for cutting edge research and development in artificial intelligence, blockchain, cryptocurrency, decentralized finance, and is always pushing development for creating the next great frontier of finance. In a fast-paced environment, we venture into the unknown, develop with the latest algorithms and technology, and collaborate to innovate. We treat data science as a team sport and leverage the diverse skillset of the team to constantly prototype and bring new solutions to market.

What You Will Be Doing

Digging into expansive datasets across different financial domains
Turning raw data into gold standard datasets
Deriving insights and uncovering trends from large and complex datasets
Leveraging your engineering skills to develop and ship production grade AI models in our data products and on our platform as APIs
Working in a fast-paced environment, constantly touching new and unfamiliar technology
Researching, learning, and developing decentralized finance applications with tools such as solidity, truffle, ganache, angular, web3, etc.
Leveraging an innovation mindset to bring forward novel ideas and co-develop them with the lab team
Interact with global multidisciplinary teams ranging from UI/UX designers to product managers to software engineers and co-develop across different areas of expertise
Rapidly iterate end to end proof of concepts on new technology and new financial domains
Facilitate thought-leadership internally and externally by representing the Innovation Lab with novel research and development at conferences and external events

Our Ideal Candidate

Works from an innovation mindset and brining fresh ideas to the table to research and develop
Exhibits leadership by mentoring and developing the skills of junior data scientists
Absorbs and learns new languages, frameworks, and complex topics quickly
Is excited to push technology boundaries and seeks the latest and greatest domains to venture into
Contributes to the technical vision of the data science organization
Applies the latest machine learning research using a business lens
Works well in a team of colleagues with diverse skillsets

What You’ll Need

Education: Bachelor of Science degree from an accredited college
Experience: 3+ years of data science-related work
Programming: compose clean, understandable, reproducible code in Python and understand the concepts functional and object-oriented programming
Source Control: experience using versioning control systems such as GitHub
Data Science: wrangle data from various sources to create new, rich data sets
Machine Learning: understand algorithmic design choices, their benefits and drawbacks, and how to implement them in various scenarios
Engineering: Ability to work and architect data pipelines, unit test models, and perform model monitoring
DeFi: Is excited about researching and developing in the decentralize finance space
Innovation: Constantly is motivated to innovate and build the future of finance through the latest technology trends
Data visualization: be able to create a data-driven story through visuals
Communication: communicate findings as clear, actionable insights to people without a technical background
Teamwork: heavy collaboration on a team with diverse skillsets from engineering to product

For Bonus Points

A graduate degree (Masters or PhD) in a quantitative field
Experience with distributed data processing in Spark/PySpark
Azure Cloud experience (Databricks, data lakes, Delta tables), or similar
Track record of productizing models in cloud environments and managing the model life cycle (data drift, model retraining, versioning, etc.)
Ability to create APIs with the FastAPI framework, or similar
Knowledge of web frameworks such as React/Angular/Vue
Thorough understanding of blockchain, cryptocurrency, and decentralized finance
Development of smart contract powered applications with frameworks such as Solidity, Web3, etc
Interest and a passion for improving the end user experience through UI/UX
Experience with computational hardware to accelerate model training
History of working with sensitive financial data
Research experience

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The above statements 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 skills required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential job functions. If you need assistance or an accommodation due to disability please contact your recruitment partner.

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By Finastra

At Finastra our purpose is to unlock the power of finance for everyone. We build and deliver innovative, next-generation technology on our open Fusion software architecture and cloud ecosystem. We’re one of the world’s largest FinTech’s working wi...

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FUNDING

Private

INDUSTRY

Financial Transaction Processing

TEAM SIZE

10000+

LOCATION

Hybrid, based in London, United Kingdom

DATE POSTED