Risk Data Analytics, Manager
About the position
As a Risk Data Analytics Manager at SoFi, you will be instrumental in driving data-driven decision-making within the Risk Management function. This role involves collaborating with senior leadership to understand their needs, developing innovative data visualizations, and providing insights that support risk oversight. You will leverage your expertise in data analytics to enhance risk management strategies and contribute to the overall financial health of the organization.
Responsibilities
Partner with senior leaders in the Independent Risk Management function to provide consultancy and translate business needs into tools, techniques, metrics, and dashboards.
,
Translate business requirements into impactful dashboards, metrics, and visualizations to support risk identification, measurement, and monitoring.
,
Combine internal and external data to conduct analysis and provide insights on risk management strategies and the macroeconomic environment.
,
Conduct quantitative analyses using statistical methods, econometric analysis, financial modeling, and other risk management techniques.
,
Prepare and analyze risk reports for senior management and regulatory bodies.
,
Design, develop, and maintain datasets and pipelines to support risk analytics, including data ingestion, transformation, and quality assurance.
,
Implement and maintain data quality standards and controls to ensure data accuracy, consistency, and completeness.
,
Leverage industry-leading technologies and integrate new data attributes to uncover valuable insights and solve complex business problems.
,
Continuously explore new technologies and techniques to improve analytics capabilities and deliver greater value.
Requirements
Bachelor's degree in Computer Science, Engineering, Statistics, Econometrics or a quantitative field required; Master's or Ph.D. degree preferred.
,
6+ years of impactful experience in the financial services industry, with significant depth in risk management (e.g. market risk, credit risk, liquidity risk, ops risk).
,
Ability to translate business needs into impactful and appealing interactive dashboards, Streamlit applications, and reports.
,
Strong quantitative skills, including proficiency in statistical analysis, econometrics, stress testing, decision science, and other risk measurement techniques.
,
Deep hands-on experience with core technologies such as Airflow, dbt, git, docker, Tableau, Streamlit, AWS, Snowflake, and Python.
,
Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
,
Proven experience building analytics solutions leveraging Git workflows, modularized coding practices, API calls, and web-based solutions.
,
The ability to analyze complex data, identify patterns, and develop solutions to address business challenges.
Nice-to-haves
Notable financial designation(s) such as CFA or FRM
Benefits
Base pay range: $115,200.00 - $216,000.00
,
Annual payment frequency
,
Eligible for a bonus
,
Long-term incentives
,
Comprehensive and competitive benefits
Apply Now
As a Risk Data Analytics Manager at SoFi, you will be instrumental in driving data-driven decision-making within the Risk Management function. This role involves collaborating with senior leadership to understand their needs, developing innovative data visualizations, and providing insights that support risk oversight. You will leverage your expertise in data analytics to enhance risk management strategies and contribute to the overall financial health of the organization.
Responsibilities
Partner with senior leaders in the Independent Risk Management function to provide consultancy and translate business needs into tools, techniques, metrics, and dashboards.
,
Translate business requirements into impactful dashboards, metrics, and visualizations to support risk identification, measurement, and monitoring.
,
Combine internal and external data to conduct analysis and provide insights on risk management strategies and the macroeconomic environment.
,
Conduct quantitative analyses using statistical methods, econometric analysis, financial modeling, and other risk management techniques.
,
Prepare and analyze risk reports for senior management and regulatory bodies.
,
Design, develop, and maintain datasets and pipelines to support risk analytics, including data ingestion, transformation, and quality assurance.
,
Implement and maintain data quality standards and controls to ensure data accuracy, consistency, and completeness.
,
Leverage industry-leading technologies and integrate new data attributes to uncover valuable insights and solve complex business problems.
,
Continuously explore new technologies and techniques to improve analytics capabilities and deliver greater value.
Requirements
Bachelor's degree in Computer Science, Engineering, Statistics, Econometrics or a quantitative field required; Master's or Ph.D. degree preferred.
,
6+ years of impactful experience in the financial services industry, with significant depth in risk management (e.g. market risk, credit risk, liquidity risk, ops risk).
,
Ability to translate business needs into impactful and appealing interactive dashboards, Streamlit applications, and reports.
,
Strong quantitative skills, including proficiency in statistical analysis, econometrics, stress testing, decision science, and other risk measurement techniques.
,
Deep hands-on experience with core technologies such as Airflow, dbt, git, docker, Tableau, Streamlit, AWS, Snowflake, and Python.
,
Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
,
Proven experience building analytics solutions leveraging Git workflows, modularized coding practices, API calls, and web-based solutions.
,
The ability to analyze complex data, identify patterns, and develop solutions to address business challenges.
Nice-to-haves
Notable financial designation(s) such as CFA or FRM
Benefits
Base pay range: $115,200.00 - $216,000.00
,
Annual payment frequency
,
Eligible for a bonus
,
Long-term incentives
,
Comprehensive and competitive benefits
Apply Now