$66K - $83K/yr
Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and ... related quantitative field is a plus. Benefits * Fully remote work opportunity within an ...
$66K - $83K/yr
Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and ... related quantitative field is a plus. Benefits * Fully remote work opportunity within an ...
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Strong background in Python, distributed systems, and backend development, with a firm grasp of ...
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Strong background in Python, distributed systems, and backend development, with a firm grasp of ...
GIS Analyst - FEMA
Kansas City, MO · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
GIS Analyst - FEMA
Kansas City, MO · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
GIS Analyst - FEMA
Ballwin, MO · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
GIS Analyst - FEMA
Ballwin, MO · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront ... Requirements: * 7+ years of experience in data science, quantitative modeling, analytics, or ...
This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront ... Requirements: * 7+ years of experience in data science, quantitative modeling, analytics, or ...
Data Analyst - GEOINT Technical SME
Saint Louis, MO · On-site +1
Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...
Data Analyst - GEOINT Technical SME
Saint Louis, MO · On-site +1
Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...
$95K - $131K/yr
... equivalent quantitative field * Experience working with Data Scientists to deploy, scale, and ... Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit ...
$95K - $131K/yr
... equivalent quantitative field * Experience working with Data Scientists to deploy, scale, and ... Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit ...
Have a strong quantitative background (statistics, ML, sciences, etc.) * Are fluent in Python and ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...
Have a strong quantitative background (statistics, ML, sciences, etc.) * Are fluent in Python and ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...
Quant Python Remote information
What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?
To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.
What is a Quant Python Remote job?
A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.
What is the difference between Quant Python Remote vs Quantitative Analyst?
| Aspect | Quant Python Remote | Quantitative Analyst |
|---|---|---|
| Required Credentials | Degree in Math, Stats, or CS; Python proficiency; sometimes certifications | Degree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common |
| Work Environment | Remote, flexible hours, often self-directed | Typically office-based, but increasingly remote; collaborative teams |
| Employer & Industry | Financial firms, hedge funds, fintech companies | Investment banks, asset management firms, hedge funds |
| Search & Comparison Intent | Looking for remote Python-based quant roles | Seeking quantitative analysis roles in finance |
While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.
What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?
Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What are popular job titles related to Quant Python Remote jobs in Missouri? For Quant Python Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Missouri look for? The top searched job categories for Quant Python Remote jobs in Missouri are:
What cities in Missouri are hiring for Quant Python Remote jobs? Cities in Missouri with the most Quant Python Remote job openings:
$66K - $83K/yr
Full-time
Posted 11 days ago
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.
- 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.
- 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!
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