You are a strategic thinker passionate about driving solutions. You have found the right team.

As a Financial control Professional in our Finance team you will spend each day defining, refining and delivering set goals for our firm

Job Responsibilities  

Design and develop end to end analytical solutions and subcomponents. Such as data engineering pipelines using Astronomer Airflow, building Python libraries, deploying REST APIs, and constructing dashboards.  Participate in the application of modern software engineering practices to continue evolving our public cloud analytics services.  Assist in the collection and definition of user requirements from Portfolio Managers and Strategists.   Facilitate the use of resulting models and systems across multiple lines of business, including training inexperienced users and hosting informational teaching sessions on the use of analytical tool kits and internal quantitative models.   Consult on the application of modern data science and machine learning to business initiatives.   Managing and providing technical guidance to 2-3 engineers 

 

Required qualifications, capabilities, and skills 

7+ years of industry experience and proven track record of building and deploying production grade software (ideally in the finance domain).   Professional proficiency in Python (web and data analysis libraries).    Education / experience in Computer Science, Engineering, and/or Data Science related discipline  Strong problem-solving skills and ability to transform practices into more efficient solutions/system/processes.  A strong interest in the finance/banking industry.  Familiarity with building and hosting images and using container orchestration frameworks.   Prior exposure to accounting standards and fixed income products 

Preferred qualifications, capabilities, and skills:

Additional experience in front end development using Dash is preferred.   Knowledge and experience in cloud architecture and solutions deployment. Preferably using tools like Jenkins, Artifactory, Terraform, and AWS CodeDeploy.  Understanding of data structures, design patterns and system design is preferred Experience with full stack development is preferred.   Experience with data science practices is preferred: regression, classification, clustering simulation, scenario analysis, optimization, etc.