Senior Software Engineer
Data
Posted on 11/3/2023
Prime brokerage platform for digital assets
Company Overview
FalconX stands out as a leading digital asset liquidity provider, offering a robust prime brokerage platform, FalconX 360, that allows investors to maximize returns efficiently. The company's dedicated 24/7 team provides comprehensive support, ensuring seamless navigation of dynamic markets at all times. Additionally, FalconX's commitment to personalizing content and utilizing advanced analytics demonstrates a forward-thinking approach to customer engagement and market analysis.
Financial Services
Data & Analytics
B2B & B2C
Company Stage
Series D
Total Funding
$444M
Founded
2018
Headquarters
San Mateo, California
Growth & Insights
Headcount
6 month growth
↑ 5%1 year growth
↑ 11%2 year growth
↑ 126%Locations
San Francisco, CA, USA • Chicago, IL, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Data Science
Python
CategoriesNew
Software Engineering
Requirements
- Bachelor's Degree in Computer Science or Related Field A bachelor's degree in Computer Science, Information Technology, or a related field, with a strong background in data science and artificial intelligence
- Experience with Databricks: Hands-on experience with Databricks for big data analytics, including the development and deployment of machine learning models
- Expertise in OpenSearch: Proficiency in using OpenSearch for data indexing, search, and analytics, with the ability to optimize data storage and retrieval processes
- Software Development Skill
- Strong software development skills with experience in languages such as Python, with a demonstrated ability to develop scalable and robust data solutions
- Industry Experience: At least 5-7 years of experience in the financial services sector, with a deep understanding of industry-specific challenges and opportunities
- Excellent Communication and Teamwork Skills: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative and fast-paced environment
- Databricks
- OpenSearch
- Python
- Big Data Technologies (Spark)
- Cloud Platforms (AWS, Google Cloud)
Responsibilities
- Design and Develop Scalable Solutions: Lead the design and development of scalable data pipelines and AI models, ensuring the integration of complex data sets that drive intelligent decision-making in the financial sector
- Collaboration and Leadership: Collaborate with cross-functional teams and stakeholders to identify business needs, and translate them into technical requirements, while fostering a culture of knowledge sharing and mentorship
- Data Management and Optimization: Utilize OpenSearch for efficient data management and optimization, ensuring data quality and consistency across various data sources
- Innovation and Research: Conduct research on emerging technologies and methodologies in the field of AI and data science, and propose innovative solutions to enhance the capabilities of the vertical AI platform
- Performance Monitoring and Optimization: Monitor the performance of data pipelines and AI models, implementing optimizations and enhancements to ensure high performance and reliability
- Security and Compliance: Ensure the security and privacy of sensitive financial data, adhering to regulatory requirements and implementing best practices in data governance and compliance