About Us:

We are FalconX, an innovative digital asset platform catering to institutional clients. Our services include trade execution, credit & treasury management, prime offering, and market making with a track record of facilitating transactions exceeding $1 trillion in volume, supported by top-tier technology and extensive liquidity. Our provision of regulated, compliant, and trustworthy products and services sets us apart.

Our diverse team comprises individuals with backgrounds in engineering, product development, sales and trading, operations, and strategy. Having amassed experience from renowned companies such as Google, Apple, Paypal, Citadel, Bridgewater, and Goldman Sachs, we uphold our core values: Think big, Drive bold outcomes, Be one team, Iterate with speed, and Foster an entrepreneurial spirit.

We emphasize a culture of continuous learning. While achieving objectives is crucial, we acknowledge that embracing both successes and failures as learning opportunities drives sustained growth. In a burgeoning industry like ours, being part of ongoing experiments and shared learning experiences offers limitless possibilities for personal and collective development.

Roles and Responsibilities:

Engage in data mining, cleansing, and preprocessing tasks to extract insights from extensive datasets.
Develop and deploy statistical models and machine learning algorithms to address business challenges and streamline operations.
Collaborate across teams to grasp business needs and pinpoint data-driven opportunities for improvement.
Effectively communicate analysis results through reports, visual representations, and presentations to key stakeholders.
Conduct exploratory data analysis to reveal patterns, connections, and trends within the data.
Stay updated on industry trends and best practices in the fields of data science and analytics.

Minimum Requirements:

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
3-5 years of practical experience in data analysis, statistical modeling, and machine learning.
Strong proficiency in programming languages like SQL and Python for data manipulation and analysis.
Sound comprehension of statistical principles and methodologies.
Exceptional problem-solving skills, including handling large and complex datasets.

Preferred Qualifications:

Prior experience collaborating within diverse and cross-functional teams.
Familiarity with data visualization tools such as Tableau, Mode, or Sigma Computing.
Knowledge of cloud computing services like AWS, Azure, or Google Cloud Platform.
Exposure to big data technologies like Hadoop, Spark, or Hive.
Familiarity with data engineering tools such as Databricks, DBT, Fivetran, etc.
Proficiency in database systems and SQL for data querying and manipulation.

Inclusivity Declaration

At FalconX, we strive to establish an inclusive, diverse, and equitable environment where everyone feels safe and valued. Our opportunities are open to individuals from all backgrounds, and we encourage all interested candidates to apply regardless of meeting all listed requirements.

As a commitment to inclusivity, FalconX recognizes the importance of affirming the EEOC survey's limitations while ensuring all applicants can provide responses that reflect their authentic selves in our voluntary survey questions related to identity.

FalconX is an equal opportunity employer that opposes discrimination based on several protected characteristics and will provide reasonable accommodations to applicants with disabilities under relevant laws. If accommodations are required, kindly reach out to FalconX’s People team at recruiting@falconx.io for assistance in the application process.

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Senior Associate, Business Operations and Analytics