Database Administrator

QF Analytics LLC is a fintech company that develops and supports one of the world’s fastest-growing online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are expanding our team aggressively and looking ideally for individuals with trading domain knowledge, who can help develop and support a robust financial trading infrastructure.

We are currently in search of a Machine Learning Engineer to join our team.

This opportunity presents an exciting chance for individuals seeking a dynamic work environment. The successful candidate will have the option to work in a hybrid capacity, commuting to offices in Miami, Chicago, Atlanta, Toronto (Canada) or Nassau (Bahamas), fostering a collaborative and engaging atmosphere. Join our team and experience the synergy that comes from working together in person, while also enjoying the flexibility and convenience of working from home a couple days a week.

• Translate business requests and questions into SQL logic
• Develop analysis templates and standards for use across the Analytics Team
• Curate datasets from raw sources for analysis, modelling and machine learning
• Manage a complex portfolio of data science projects, initiatives and implementations, constantly adapting to new ideas and challenges posed by Data Science/Machine Learning analysts
• Manage data engineering platforms including the raw data layer, cleansed/aggregates layers, reporting layers and analytical layers while integrating with other source systems
• Work closely with Data Science team to provide environment and data automation capabilities
• Work with Dev Ops team to ensure that the data architecture supports all research & strategy implementation needs
• Work with software development & trading strategy teams to create an efficient and flexible flow of data to translate business and analytics requirements including ETL, data models, aggregations and reports for analysis
• Convert prototypes into production data engineering solutions through disciplined software engineering practices and modern deployment pipelines
• Work with trading strategy team to collate and organize trading system output into a structured framework to facilitate forensical analysis

• 5+ years of experience of Database Management & Data Curation/Wrangling
• Degree in Mathematics, Computer Science, Statistics, Economics or related fields
• Advanced SQL/Programming Query skills, understanding of financial statistical methods, ASP .Net web apps, C#, Azure/Cloud development environments, Python, Redis, SSIS, SSAS
• Advanced knowledge of data management, aggregation and analysis techniques
• Strong problem-solving skills
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Experience visualizing/presenting data for stakeholders using data visualization tools such as Power BI or Tableau
• Expert knowledge of MS Excel, MS Access and VBA
• Intermediate to advanced data manipulation ability via Excel and/or Python/SQL
• Data pipeline and/or database development and engineering experience

• PhD in Mathematics, Engineering, Physics or related field
• 4-8 years experience working in Machine Learning
• Experience with deep learning frameworks like Tensor Flow or Py Torch
• Familiarity with C# and .NET framework
• Familiarity with Azure Environments; specifically Azure Data Functions
• Familiarity with Docker initialization and environment management

• Flexible work arrangements when in office (including working from home periodically)
• Competitive salaries, often better than industry, for comparable roles
• Daily premium lunch catering, and keeping the office stacked with fruits and snacks
• Arcade, foosball, snooker, pingpong, and fully equipped game room with latest generation gaming consoles on site
• Comprehensive health benefits plan that kicks in after 90 days of successful employment, including access to exclusive employee discounts
• Bonus and incentive programs