Database Administrator

Qfanalytics; Miami (FL); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive salaries

Daily premium lunch catering

Game room with latest gaming consoles

Comprehensive health benefits

Job summary

Qfanalytics, based in Miami, is seeking a Machine Learning Engineer to develop and support a robust financial trading infrastructure. The ideal candidate will have over 5 years of experience in database management and strong skills in SQL and Python, contributing to exciting data science projects.

This role offers a hybrid working model, allowing flexibility while ensuring collaboration with teams across multiple locations. The company also emphasizes a vibrant work environment with numerous benefits.

Qualifications

• 5+ years of experience in Database Management & Data Curation/Wrangling.
• Strong problem-solving skills and advanced SQL/Programming Query skills.
• Experience visualizing and presenting data for stakeholders using tools like Power BI or Tableau.

Responsibilities

• Translate business requests into SQL logic.
• Develop analysis templates for the Analytics Team.
• Curate datasets for analysis, modeling, and machine learning.
• Manage data architecture for complex data engineering projects.

Skills

Database Management & Data Curation/Wrangling

Advanced SQL/Programming Query

Data Management & Analysis Techniques

Statistical Computer Languages

MS Excel

Data Pipeline Development

Data Visualization Tools (Power BI, Tableau)

Education

Degree in Mathematics, Computer Science, Statistics, Economics or related fields

Tools

Python

C#

Azure

Docker

TensorFlow

PyTorch

Job description

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.

Responsibilities

• 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 DevOps 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

Required Qualifications

• 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

Preferred Qualifications

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

What We Have To Offer

• 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