Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now!
Block
Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now!
Job Description
Data Scientist - Risk at Block: Empower Economic Freedom with Cutting-Edge Analytics
Are you a seasoned Data Scientist passionate about mitigating risks in the dynamic world of fintech? Block, the innovative company behind Cash App, Square, and Afterpay, is hiring a Data Scientist - Risk in the Bay Area, CA. This role within the First Line Risk Monitoring (FLRM) team is your chance to drive proactive risk management through advanced analytics, Key Risk Indicators (KRIs), and automated alerting systems. Join a company united by economic empowerment and make a tangible impact on millions of users.
Role Overview
The Product Data Scientist - Risk role is embedded in Block's FLRM team, focusing on accelerating automated risk monitoring across products. As an analytics expert, you'll develop KRIs, risk metrics, and alerting systems to enable proactive risk management. You'll identify opportunities to strengthen first-line controls, instrument monitoring metrics, and automate detections of emerging risks. This position demands a blend of technical prowess in data science and strategic thinking to shape the Risk organization's direction.
Block's foundational teams, including People, Finance, and Information Security, collaborate globally to foster inclusive policies and safeguard systems. In this role, you'll work across brands like Cash App, Square, and Afterpay, leveraging diverse perspectives to turn challenges into possibilities. With the fintech industry booming, experts in risk data science jobs in Bay Area are in high demand, and this position offers unparalleled exposure to real-world applications.
Expect to partner with Risk Business Partners, product teams, Compliance, and Customer Operations. Your work will involve sizing risk reduction opportunities, designing visualizations, and presenting to senior leaders. If you thrive in fast-paced environments and have 5+ years in product data science, this is your opportunity to excel at a company redefining financial services.
Key Responsibilities
- Collaborate with stakeholders to develop KRIs measuring first-line control performance across Block brands.
- Size risk reduction opportunities and shape strategic direction using data-driven insights.
- Apply proxy measurement methodologies to monitor operational and product risks.
- Design alerting systems for detecting regressions and anomalies.
- Build metrics and visualizations to prioritize risks and opportunities.
- Partner with product teams on experimentation and post-launch risk measurement.
- Develop experimentable risk metrics for streamlined product launch evaluations.
- Conduct non-experimental analyses like synthetic controls for causal inference.
- Quantify new feature risks and recommend data-backed mitigations.
- Analyze risks in externally shared data with FLRM team.
- Manage partner risk via analysis and monitoring frameworks.
- Present findings to non-technical audiences and estimate mitigation tradeoffs.
- Scope and deliver analytics projects independently with FLRM leads.
These responsibilities highlight the role's emphasis on cross-functional collaboration and impactful analytics in fintech risk management.
Qualifications
To succeed, you need:
- 5+ years post-graduate experience in product data science, preferably in fintech or trust & safety.
- Proven expertise in metrics, dashboards, and monitoring in fast-paced settings.
- Strong skills in Python, SQL, ML, and tools like Tableau/Looker.
- Experience with KRIs, anomaly detection, and experimentation design.
- Ability to communicate complex insights to executives.
- Degree in Data Science, Stats, or related field.
Candidates with Bay Area data scientist risk experience will stand out in this competitive market.
Salary & Benefits
Salary ranges from $180,000 to $250,000 USD yearly, based on experience. Block offers equity, health insurance, 401(k) matching, unlimited PTO, parental leave, wellness programs, free meals, ESPP, and more. These perks support your professional growth in the Bay Area tech scene.
Why Join Block?
Block is more than a fintech leader; it's a movement for economic empowerment. Work on innovative products serving millions, in a collaborative culture spanning time zones. Bay Area Data Scientist - Risk roles at Block provide growth, impact, and stability in a volatile industry. Join diverse teams driving inclusive policies and global initiatives.
The fintech risk analytics space is exploding, with demand for KRIs and alerting experts surging. Block's scale offers unmatched challenges and rewards.
How to Apply
Ready to apply your data science skills to risk at Block? Submit your resume highlighting fintech experience, KRIs projects, and analytics portfolios. Tailor your application to our Bay Area opportunity. Interviews include technical assessments on Python/SQL, case studies on risk metrics, and stakeholder presentations. Join us today!
This page optimized for Data Scientist Risk jobs Bay Area, Block careers, fintech data science roles. Updated 2023.
Locations
- San Francisco, California, United States of America
- Oakland, California, United States of America
- San Jose, California, United States of America
Salary
189,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- SQLintermediate
- Data Analysisintermediate
- Machine Learningintermediate
- Risk Modelingintermediate
- Key Risk Indicators (KRIs)intermediate
- Dashboard Developmentintermediate
- Statistical Analysisintermediate
- A/B Testingintermediate
- Anomaly Detectionintermediate
- Data Visualizationintermediate
- Tableauintermediate
- Lookerintermediate
- Experimentation Designintermediate
- Proxy Measurementintermediate
- Alerting Systemsintermediate
- Fintech Analyticsintermediate
- Trust & Safetyintermediate
- Regression Analysisintermediate
- Synthetic Control Methodsintermediate
Required Qualifications
- Minimum 5+ years of post-graduate industry experience in product data science roles (experience)
- Demonstrated experience building metrics, dashboards, and monitoring systems in fast-paced environments (experience)
- Past experience in Fintech and/or trust & safety is highly preferred (experience)
- Strong proficiency in Python, SQL, and data visualization tools like Tableau or Looker (experience)
- Proven track record of developing Key Risk Indicators (KRIs) and risk metrics (experience)
- Experience with experimentation frameworks including A/B testing and causal inference methods (experience)
- Ability to design and implement alerting systems for anomaly detection (experience)
- Expertise in proxy measurement methodologies for operational and product risks (experience)
- Strong communication skills to present findings to senior stakeholders and non-technical audiences (experience)
- Experience collaborating cross-functionally with product, compliance, and operations teams (experience)
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field (experience)
- Familiarity with non-experimental analyses such as pre/post, synthetic control, and regression discontinuity (experience)
Responsibilities
- Collaborate with Risk Business Partners to develop Key Risk Indicators (KRIs) across Block brands like Cash App, Square, and Afterpay
- Size opportunities and identify levers to reduce risk or bad activity using KRIs to shape Risk organization strategy
- Utilize proxy measurement methodologies to estimate and monitor operational and product risks at Block
- Design and implement alerting systems to detect risk regressions and anomalies in real-time
- Create metrics and visualizations that size relative risks, identify priorities, and surface action opportunities
- Partner with product teams during experimentation, rollout, and post-launch phases to measure product risks
- Develop experimentable risk metrics and proxies to streamline risk outcome measurement in product launches
- Implement non-experimental analyses like pre/post, synthetic control, and regression discontinuity for impact estimation
- Work with stakeholders to quantify potential risks of new features and provide data-driven recommendations
- Collaborate with First Line Risk Monitoring team to analyze risks of externally shared data
- Support managing partner risk through data analysis and monitoring frameworks
- Present findings and recommendations to senior stakeholders and non-technical audiences
- Help stakeholders understand tradeoffs and estimate impacts of risk mitigation alternatives
- Partner with FLRM leads to scope analytics projects and deliver them independently
Benefits
- general: Competitive salary with equity in a high-growth fintech company
- general: Comprehensive health, dental, and vision insurance plans
- general: 401(k) matching program for retirement savings
- general: Unlimited PTO policy to promote work-life balance
- general: Flexible work arrangements including hybrid options in Bay Area
- general: Generous parental leave for new parents
- general: Professional development stipend for courses and certifications
- general: Onsite fitness centers and wellness programs
- general: Free meals and snacks at Block offices
- general: Employee stock purchase plan (ESPP)
- general: Mental health support through EAP (Employee Assistance Program)
- general: Volunteer time off and charitable matching programs
- general: Commuter benefits and transportation reimbursements
- general: Diversity and inclusion initiatives with ERGs
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now! @ Block.
Related Books and Jobs
Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now!
Block
Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now!
Job Description
Data Scientist - Risk at Block: Empower Economic Freedom with Cutting-Edge Analytics
Are you a seasoned Data Scientist passionate about mitigating risks in the dynamic world of fintech? Block, the innovative company behind Cash App, Square, and Afterpay, is hiring a Data Scientist - Risk in the Bay Area, CA. This role within the First Line Risk Monitoring (FLRM) team is your chance to drive proactive risk management through advanced analytics, Key Risk Indicators (KRIs), and automated alerting systems. Join a company united by economic empowerment and make a tangible impact on millions of users.
Role Overview
The Product Data Scientist - Risk role is embedded in Block's FLRM team, focusing on accelerating automated risk monitoring across products. As an analytics expert, you'll develop KRIs, risk metrics, and alerting systems to enable proactive risk management. You'll identify opportunities to strengthen first-line controls, instrument monitoring metrics, and automate detections of emerging risks. This position demands a blend of technical prowess in data science and strategic thinking to shape the Risk organization's direction.
Block's foundational teams, including People, Finance, and Information Security, collaborate globally to foster inclusive policies and safeguard systems. In this role, you'll work across brands like Cash App, Square, and Afterpay, leveraging diverse perspectives to turn challenges into possibilities. With the fintech industry booming, experts in risk data science jobs in Bay Area are in high demand, and this position offers unparalleled exposure to real-world applications.
Expect to partner with Risk Business Partners, product teams, Compliance, and Customer Operations. Your work will involve sizing risk reduction opportunities, designing visualizations, and presenting to senior leaders. If you thrive in fast-paced environments and have 5+ years in product data science, this is your opportunity to excel at a company redefining financial services.
Key Responsibilities
- Collaborate with stakeholders to develop KRIs measuring first-line control performance across Block brands.
- Size risk reduction opportunities and shape strategic direction using data-driven insights.
- Apply proxy measurement methodologies to monitor operational and product risks.
- Design alerting systems for detecting regressions and anomalies.
- Build metrics and visualizations to prioritize risks and opportunities.
- Partner with product teams on experimentation and post-launch risk measurement.
- Develop experimentable risk metrics for streamlined product launch evaluations.
- Conduct non-experimental analyses like synthetic controls for causal inference.
- Quantify new feature risks and recommend data-backed mitigations.
- Analyze risks in externally shared data with FLRM team.
- Manage partner risk via analysis and monitoring frameworks.
- Present findings to non-technical audiences and estimate mitigation tradeoffs.
- Scope and deliver analytics projects independently with FLRM leads.
These responsibilities highlight the role's emphasis on cross-functional collaboration and impactful analytics in fintech risk management.
Qualifications
To succeed, you need:
- 5+ years post-graduate experience in product data science, preferably in fintech or trust & safety.
- Proven expertise in metrics, dashboards, and monitoring in fast-paced settings.
- Strong skills in Python, SQL, ML, and tools like Tableau/Looker.
- Experience with KRIs, anomaly detection, and experimentation design.
- Ability to communicate complex insights to executives.
- Degree in Data Science, Stats, or related field.
Candidates with Bay Area data scientist risk experience will stand out in this competitive market.
Salary & Benefits
Salary ranges from $180,000 to $250,000 USD yearly, based on experience. Block offers equity, health insurance, 401(k) matching, unlimited PTO, parental leave, wellness programs, free meals, ESPP, and more. These perks support your professional growth in the Bay Area tech scene.
Why Join Block?
Block is more than a fintech leader; it's a movement for economic empowerment. Work on innovative products serving millions, in a collaborative culture spanning time zones. Bay Area Data Scientist - Risk roles at Block provide growth, impact, and stability in a volatile industry. Join diverse teams driving inclusive policies and global initiatives.
The fintech risk analytics space is exploding, with demand for KRIs and alerting experts surging. Block's scale offers unmatched challenges and rewards.
How to Apply
Ready to apply your data science skills to risk at Block? Submit your resume highlighting fintech experience, KRIs projects, and analytics portfolios. Tailor your application to our Bay Area opportunity. Interviews include technical assessments on Python/SQL, case studies on risk metrics, and stakeholder presentations. Join us today!
This page optimized for Data Scientist Risk jobs Bay Area, Block careers, fintech data science roles. Updated 2023.
Locations
- San Francisco, California, United States of America
- Oakland, California, United States of America
- San Jose, California, United States of America
Salary
189,000 - 275,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- SQLintermediate
- Data Analysisintermediate
- Machine Learningintermediate
- Risk Modelingintermediate
- Key Risk Indicators (KRIs)intermediate
- Dashboard Developmentintermediate
- Statistical Analysisintermediate
- A/B Testingintermediate
- Anomaly Detectionintermediate
- Data Visualizationintermediate
- Tableauintermediate
- Lookerintermediate
- Experimentation Designintermediate
- Proxy Measurementintermediate
- Alerting Systemsintermediate
- Fintech Analyticsintermediate
- Trust & Safetyintermediate
- Regression Analysisintermediate
- Synthetic Control Methodsintermediate
Required Qualifications
- Minimum 5+ years of post-graduate industry experience in product data science roles (experience)
- Demonstrated experience building metrics, dashboards, and monitoring systems in fast-paced environments (experience)
- Past experience in Fintech and/or trust & safety is highly preferred (experience)
- Strong proficiency in Python, SQL, and data visualization tools like Tableau or Looker (experience)
- Proven track record of developing Key Risk Indicators (KRIs) and risk metrics (experience)
- Experience with experimentation frameworks including A/B testing and causal inference methods (experience)
- Ability to design and implement alerting systems for anomaly detection (experience)
- Expertise in proxy measurement methodologies for operational and product risks (experience)
- Strong communication skills to present findings to senior stakeholders and non-technical audiences (experience)
- Experience collaborating cross-functionally with product, compliance, and operations teams (experience)
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field (experience)
- Familiarity with non-experimental analyses such as pre/post, synthetic control, and regression discontinuity (experience)
Responsibilities
- Collaborate with Risk Business Partners to develop Key Risk Indicators (KRIs) across Block brands like Cash App, Square, and Afterpay
- Size opportunities and identify levers to reduce risk or bad activity using KRIs to shape Risk organization strategy
- Utilize proxy measurement methodologies to estimate and monitor operational and product risks at Block
- Design and implement alerting systems to detect risk regressions and anomalies in real-time
- Create metrics and visualizations that size relative risks, identify priorities, and surface action opportunities
- Partner with product teams during experimentation, rollout, and post-launch phases to measure product risks
- Develop experimentable risk metrics and proxies to streamline risk outcome measurement in product launches
- Implement non-experimental analyses like pre/post, synthetic control, and regression discontinuity for impact estimation
- Work with stakeholders to quantify potential risks of new features and provide data-driven recommendations
- Collaborate with First Line Risk Monitoring team to analyze risks of externally shared data
- Support managing partner risk through data analysis and monitoring frameworks
- Present findings and recommendations to senior stakeholders and non-technical audiences
- Help stakeholders understand tradeoffs and estimate impacts of risk mitigation alternatives
- Partner with FLRM leads to scope analytics projects and deliver them independently
Benefits
- general: Competitive salary with equity in a high-growth fintech company
- general: Comprehensive health, dental, and vision insurance plans
- general: 401(k) matching program for retirement savings
- general: Unlimited PTO policy to promote work-life balance
- general: Flexible work arrangements including hybrid options in Bay Area
- general: Generous parental leave for new parents
- general: Professional development stipend for courses and certifications
- general: Onsite fitness centers and wellness programs
- general: Free meals and snacks at Block offices
- general: Employee stock purchase plan (ESPP)
- general: Mental health support through EAP (Employee Assistance Program)
- general: Volunteer time off and charitable matching programs
- general: Commuter benefits and transportation reimbursements
- general: Diversity and inclusion initiatives with ERGs
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - Risk Careers at Block - Bay Area, CA | Apply Now! @ Block.
Related Books and Jobs