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Crypto Quant Jobs in Missouri (NOW HIRING)

$66K - $83K/yr

Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring ... Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a ...

Crypto Quant information

What is a Crypto Quant?

A Crypto Quant, short for 'cryptocurrency quantitative analyst,' is a professional who uses mathematical models, statistical techniques, and computer programming to analyze cryptocurrency markets and develop trading strategies. These analysts often work for hedge funds, trading firms, or research institutions, applying quantitative methods to identify trends, manage risk, and optimize trading performance. Crypto Quants typically have backgrounds in mathematics, computer science, or finance, and are skilled in programming languages like Python or C++. Their work is essential for making data-driven decisions in the fast-paced and volatile crypto market.

What are some common challenges faced by Crypto Quants when building trading models?

Crypto Quants often encounter unique challenges such as high market volatility, fragmented liquidity across multiple exchanges, and rapidly evolving market structures. Unlike traditional financial markets, crypto markets operate 24/7, requiring robust, real-time risk management and monitoring systems. Additionally, the lack of long-term historical data and frequent changes in regulations can make backtesting and model validation more complex. Collaborating closely with software engineers and traders is essential to ensure models are both technically sound and practically executable.

What are the key skills and qualifications needed to thrive as a Crypto Quant, and why are they important?

To thrive as a Crypto Quant, you need a strong background in mathematics, statistics, programming (often Python or C++), and a relevant degree such as in quantitative finance, mathematics, or computer science. Familiarity with blockchain technology, algorithmic trading platforms, and data analysis tools like Pandas, NumPy, and data visualization libraries is crucial. Analytical thinking, attention to detail, and the ability to adapt quickly to volatile markets are standout soft skills in this role. These skills are essential to develop effective trading strategies, manage risk, and stay ahead in the rapidly evolving crypto markets.

What is the difference between Crypto Quant vs Crypto Analyst?

AspectCrypto QuantCrypto Analyst
Required CredentialsDegree in finance, mathematics, or computer science; programming skills; certifications like CQF or CFADegree in finance, economics, or related field; strong analytical skills; certifications like CFA beneficial
Work EnvironmentQuantitative research teams, trading firms, hedge funds; focus on data modeling and algorithm developmentResearch teams, investment firms, media outlets; focus on market analysis and reporting
Employer & Industry UsageFinancial institutions, hedge funds, crypto trading firmsInvestment firms, media, research agencies, crypto companies

Crypto Quants primarily develop quantitative models and algorithms to inform trading strategies, often working with large datasets and programming. Crypto Analysts focus on analyzing market trends, providing insights, and reporting on cryptocurrency markets. While both roles require strong analytical skills and knowledge of cryptocurrencies, Quants are more technical and data-driven, whereas Analysts focus on market interpretation and communication.

What are popular job titles related to Crypto Quant jobs in Missouri? For Crypto Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Crypto Quant jobs in Missouri look for? The top searched job categories for Crypto Quant jobs in Missouri are:
What cities in Missouri are hiring for Crypto Quant jobs? Cities in Missouri with the most Crypto Quant job openings:

Senior Data Analyst (Fintech)

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in Netherlands.

This role offers the opportunity to build advanced analytics capabilities within a fast-growing financial technology environment.
You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence.
Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up.
The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency.
You will play a critical role in ensuring data accuracy, audit readiness, and the development of data-driven strategies.
This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team.

Accountabilities
  • Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms.
  • Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive-level reporting.
  • Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews.
  • Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions.
  • Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information.
  • Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators.
  • Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks.
  • Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities.
  • Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision-making processes.
Requirements
  • 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services.
  • Expert-level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms.
  • Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis.
  • Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive-level dashboards.
  • Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA.
  • Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions.
  • Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly.
  • Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable.
  • Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery.
  • Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus.
Benefits
  • Fully remote work opportunity within an international and agile team.
  • Competitive compensation package based on experience, skills, and individual contribution.
  • Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.
  • High-impact role supporting mission-critical financial reporting, compliance, and business decision-making.
  • Career growth opportunities across technical, leadership, and cross-functional career paths.
  • Collaborative culture focused on transparency, experimentation, ownership, and measurable impact.
  • Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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