Senior Software Engineer
Posted on 11/3/2023

201-500 employees

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





San Mateo, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Francisco, CA, USA • Chicago, IL, USA • New York, NY, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Software Engineering
  • 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)
  • 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