Manager, Risk Analytics
Coinbase
Manager, Risk Analytics
Job Description
Responsibilities
- Lead and mentor a growing team of analysts, shaping risk strategy with focus on account security and ATO prevention.
- Balance leadership with hands-on contribution, writing complex SQL queries and guiding technical investigations.
- Define core risk metrics, build reporting frameworks, and drive continuous improvement by identifying monitoring gaps and prioritizing enhancements.
- Translate data findings into clear narratives that influence senior risk and product decisions.
- Collaborate with cross-functional product, engineering and data science teams to achieve high-impact security and trust objectives.
- Develop secure user experiences that maintain trust while ensuring quick, seamless access and recovery for legitimate users.
- Lead incident response efforts by managing workstreams during significant fraud events and organizing post-mortem initiatives.
Required Qualifications
- 7+ years of hands-on risk experience in e-commerce or financial services.
- 4+ years of direct experience combating account takeover (ATO) and scams in a Fraud, Trust & Safety, Risk, or Account Security role.
- 2+ years in people management or leading analysts/tech leads; able to coach while remaining hands-on with SQL/Python.
- Professional experience using SQL and Python.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset).
- Excellent communication skills with a knack for storytelling; able to turn data into actionable insights for stakeholders at all levels.
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering.
- An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem.
- BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience.
- Demonstrates our core cultural values: clarity, positive energy, continuous learning, and efficient execution.
Preferred Qualifications
- Experience with Databricks
Required Skills
- SQL
- Python
- business intelligence and data visualization tools (e.g., Tableau, Looker, Superset)
- communication skills
- storytelling
- cross-functional collaboration
- blockchain analytics
- fraud trends in cryptocurrency ecosystem
- people management
- leadership
- incident response
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$193270 - $228200 USD
Locations
- US Zone 1 (Job Requisitions Only), United States (Remote)
Salary
193,270 - 228,200 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- business intelligence and data visualization tools (e.g., Tableau, Looker, Superset)intermediate
- communication skillsintermediate
- storytellingintermediate
- cross-functional collaborationintermediate
- blockchain analyticsintermediate
- fraud trends in cryptocurrency ecosystemintermediate
- people managementintermediate
- leadershipintermediate
- incident responseintermediate
Required Qualifications
- 7+ years of hands-on risk experience in e-commerce or financial services. (experience)
- 4+ years of direct experience combating account takeover (ATO) and scams in a Fraud, Trust & Safety, Risk, or Account Security role. (experience)
- 2+ years in people management or leading analysts/tech leads; able to coach while remaining hands-on with SQL/Python. (experience)
- Professional experience using SQL and Python. (experience)
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset). (experience)
- Excellent communication skills with a knack for storytelling; able to turn data into actionable insights for stakeholders at all levels. (experience)
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering. (experience)
- An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem. (experience)
- BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience. (experience)
- Demonstrates our core cultural values: clarity, positive energy, continuous learning, and efficient execution. (experience)
Preferred Qualifications
- Experience with Databricks (experience)
Responsibilities
- Lead and mentor a growing team of analysts, shaping risk strategy with focus on account security and ATO prevention.
- Balance leadership with hands-on contribution, writing complex SQL queries and guiding technical investigations.
- Define core risk metrics, build reporting frameworks, and drive continuous improvement by identifying monitoring gaps and prioritizing enhancements.
- Translate data findings into clear narratives that influence senior risk and product decisions.
- Collaborate with cross-functional product, engineering and data science teams to achieve high-impact security and trust objectives.
- Develop secure user experiences that maintain trust while ensuring quick, seamless access and recovery for legitimate users.
- Lead incident response efforts by managing workstreams during significant fraud events and organizing post-mortem initiatives.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Manager, Risk Analytics
Coinbase
Manager, Risk Analytics
Job Description
Responsibilities
- Lead and mentor a growing team of analysts, shaping risk strategy with focus on account security and ATO prevention.
- Balance leadership with hands-on contribution, writing complex SQL queries and guiding technical investigations.
- Define core risk metrics, build reporting frameworks, and drive continuous improvement by identifying monitoring gaps and prioritizing enhancements.
- Translate data findings into clear narratives that influence senior risk and product decisions.
- Collaborate with cross-functional product, engineering and data science teams to achieve high-impact security and trust objectives.
- Develop secure user experiences that maintain trust while ensuring quick, seamless access and recovery for legitimate users.
- Lead incident response efforts by managing workstreams during significant fraud events and organizing post-mortem initiatives.
Required Qualifications
- 7+ years of hands-on risk experience in e-commerce or financial services.
- 4+ years of direct experience combating account takeover (ATO) and scams in a Fraud, Trust & Safety, Risk, or Account Security role.
- 2+ years in people management or leading analysts/tech leads; able to coach while remaining hands-on with SQL/Python.
- Professional experience using SQL and Python.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset).
- Excellent communication skills with a knack for storytelling; able to turn data into actionable insights for stakeholders at all levels.
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering.
- An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem.
- BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience.
- Demonstrates our core cultural values: clarity, positive energy, continuous learning, and efficient execution.
Preferred Qualifications
- Experience with Databricks
Required Skills
- SQL
- Python
- business intelligence and data visualization tools (e.g., Tableau, Looker, Superset)
- communication skills
- storytelling
- cross-functional collaboration
- blockchain analytics
- fraud trends in cryptocurrency ecosystem
- people management
- leadership
- incident response
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$193270 - $228200 USD
Locations
- US Zone 1 (Job Requisitions Only), United States (Remote)
Salary
193,270 - 228,200 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- business intelligence and data visualization tools (e.g., Tableau, Looker, Superset)intermediate
- communication skillsintermediate
- storytellingintermediate
- cross-functional collaborationintermediate
- blockchain analyticsintermediate
- fraud trends in cryptocurrency ecosystemintermediate
- people managementintermediate
- leadershipintermediate
- incident responseintermediate
Required Qualifications
- 7+ years of hands-on risk experience in e-commerce or financial services. (experience)
- 4+ years of direct experience combating account takeover (ATO) and scams in a Fraud, Trust & Safety, Risk, or Account Security role. (experience)
- 2+ years in people management or leading analysts/tech leads; able to coach while remaining hands-on with SQL/Python. (experience)
- Professional experience using SQL and Python. (experience)
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset). (experience)
- Excellent communication skills with a knack for storytelling; able to turn data into actionable insights for stakeholders at all levels. (experience)
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering. (experience)
- An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem. (experience)
- BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience. (experience)
- Demonstrates our core cultural values: clarity, positive energy, continuous learning, and efficient execution. (experience)
Preferred Qualifications
- Experience with Databricks (experience)
Responsibilities
- Lead and mentor a growing team of analysts, shaping risk strategy with focus on account security and ATO prevention.
- Balance leadership with hands-on contribution, writing complex SQL queries and guiding technical investigations.
- Define core risk metrics, build reporting frameworks, and drive continuous improvement by identifying monitoring gaps and prioritizing enhancements.
- Translate data findings into clear narratives that influence senior risk and product decisions.
- Collaborate with cross-functional product, engineering and data science teams to achieve high-impact security and trust objectives.
- Develop secure user experiences that maintain trust while ensuring quick, seamless access and recovery for legitimate users.
- Lead incident response efforts by managing workstreams during significant fraud events and organizing post-mortem initiatives.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories