Data Scientist
3 weeks ago
About the Role
We are seeking a data scientist specializing in generative AI who loves to face new challenges, build solutions from the ground up, and constantly develop with the latest emerging 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 GenAI(X) Labs was founded on a simple idea: to push technology boundaries and build the future of finance leveraging key AI and generative AI technology. From ideation to proof of concepts to fully productized models, the team is responsible for cutting edge research and development in the artificial intelligence space 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 generative AI models across a wide range of financial domains
Managing infrastructure and genAI model lifecycles
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
Has a passion for generative AI and is eager to continue exploring the many facets of the space
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: 2+ 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
Generative AI: Sold grasp of key large language model principles with exposure to leveraging them in practice
Engineering: Ability to work and architect data pipelines, unit test models, and perform model monitoring
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
Experience with Azure Open AI and other open-source foundational models
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
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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