Data Analyst - Manual Identification Verification (MIV)
What Is MyBambu?
MyBambu is a cutting-edge fintech platform delivering the first all-in-one mobile digital financial solution for underserved, primarily Hispanic communities. With a focus on financial inclusion, MyBambu offers easy access to a range of services, including checking accounts without credit checks, remittance services, bill payments, and mobile top-ups. Recognized with the FIS Impact Award for innovation in 2020, MyBambu is dedicated to breaking down barriers to financial access and literacy, empowering users through a bilingual, user-friendly mobile experience tailored to diverse needs.
MyBambu participates in E-verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new hire's Form I-9 to confirm work authorization. Find out more information : E-Verify Participation Poster or Right to Work Poster.
Your Opportunity :
This is a full-time, in-person position reporting to the Chief Compliance Officer. As the Data Analyst- MIV you will be responsible in ensuring the efficiency and accuracy of our manual identification verification processes. You will analyze, interpret, and present data insights to improve operational workflows, reduce fraud, and enhance customer satisfaction. This is a critical position that combines analytical expertise with a focus on compliance and user experience.
Job Responsibilities :
Analyze data from the manual ID verification process to identify trends, bottlenecks, and opportunities for improvement.
Develop and maintain dashboards and reports to monitor verification performance metrics, including accuracy, processing times, and error rates.
Collaborate with the MIV team to optimize workflows and implement process enhancements based on data-driven insights.
Identify and flag anomalies or suspicious patterns in verification data to mitigate fraud risks.
Work closely with compliance and risk teams to ensure adherence to regulatory requirements and best practices.
Provide regular updates and insights to stakeholders, including leadership, on the performance and effectiveness of manual ID verification processes.
Assist in designing experiments or A / B tests to evaluate new tools or strategies for the verification process.
Skill and Abilities :
Technical Skills :
Proficiency in SQL, Python, or R for data analysis and manipulation.
Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Advanced knowledge of Excel, including pivot tables, and data analysis functions.
Familiarity with KYC (Know Your Customer) processes and ID verification systems is a plus.
Understanding of compliance and regulatory requirements in financial services is advantageous.
Analytical Skills :
Strong ability to interpret complex data sets and translate them into actionable insights.
Skilled in identifying trends, anomalies, and patterns in large data sets.
Critical thinking and problem-solving skills to develop and implement process improvements.
Communication Skills :
Excellent written and verbal communication skills to present data insights to stakeholders clearly and concisely.
Ability to collaborate effectively with cross-functional teams, including compliance, operations, and leadership.
Personal Attributes :
Exceptional attention to detail and a commitment to accuracy.
Proactive, self-motivated, and able to work both independently and as part of a team.
Comfortable working in a fast-paced, dynamic environment with shifting priorities.
Job Requirements :
Must be bilingual in Spanish and English, with excellent written and verbal communication skills in both languages.
Bachelor's degree in data Analytics, Statistics, Computer Science, or a related field, preferred.
One year of experience in data analysis, preferably in fintech, banking, or compliance-focused roles.
Proficiency in SQL, Python, or R for data analysis and manipulation.
Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Advanced knowledge of Excel, including pivot tables, and data analysis functions.
Familiarity with KYC (Know Your Customer) processes and ID verification systems is a plus.
Physical Requirements :
Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.
MyBambu Benefits :
Excellent medical coverage.
Fifteen (15) days of Paid Time Off.
Seven (7) days of Paid Holidays.
Our small family corporate culture.
Apply Now
MyBambu is a cutting-edge fintech platform delivering the first all-in-one mobile digital financial solution for underserved, primarily Hispanic communities. With a focus on financial inclusion, MyBambu offers easy access to a range of services, including checking accounts without credit checks, remittance services, bill payments, and mobile top-ups. Recognized with the FIS Impact Award for innovation in 2020, MyBambu is dedicated to breaking down barriers to financial access and literacy, empowering users through a bilingual, user-friendly mobile experience tailored to diverse needs.
MyBambu participates in E-verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new hire's Form I-9 to confirm work authorization. Find out more information : E-Verify Participation Poster or Right to Work Poster.
Your Opportunity :
This is a full-time, in-person position reporting to the Chief Compliance Officer. As the Data Analyst- MIV you will be responsible in ensuring the efficiency and accuracy of our manual identification verification processes. You will analyze, interpret, and present data insights to improve operational workflows, reduce fraud, and enhance customer satisfaction. This is a critical position that combines analytical expertise with a focus on compliance and user experience.
Job Responsibilities :
Analyze data from the manual ID verification process to identify trends, bottlenecks, and opportunities for improvement.
Develop and maintain dashboards and reports to monitor verification performance metrics, including accuracy, processing times, and error rates.
Collaborate with the MIV team to optimize workflows and implement process enhancements based on data-driven insights.
Identify and flag anomalies or suspicious patterns in verification data to mitigate fraud risks.
Work closely with compliance and risk teams to ensure adherence to regulatory requirements and best practices.
Provide regular updates and insights to stakeholders, including leadership, on the performance and effectiveness of manual ID verification processes.
Assist in designing experiments or A / B tests to evaluate new tools or strategies for the verification process.
Skill and Abilities :
Technical Skills :
Proficiency in SQL, Python, or R for data analysis and manipulation.
Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Advanced knowledge of Excel, including pivot tables, and data analysis functions.
Familiarity with KYC (Know Your Customer) processes and ID verification systems is a plus.
Understanding of compliance and regulatory requirements in financial services is advantageous.
Analytical Skills :
Strong ability to interpret complex data sets and translate them into actionable insights.
Skilled in identifying trends, anomalies, and patterns in large data sets.
Critical thinking and problem-solving skills to develop and implement process improvements.
Communication Skills :
Excellent written and verbal communication skills to present data insights to stakeholders clearly and concisely.
Ability to collaborate effectively with cross-functional teams, including compliance, operations, and leadership.
Personal Attributes :
Exceptional attention to detail and a commitment to accuracy.
Proactive, self-motivated, and able to work both independently and as part of a team.
Comfortable working in a fast-paced, dynamic environment with shifting priorities.
Job Requirements :
Must be bilingual in Spanish and English, with excellent written and verbal communication skills in both languages.
Bachelor's degree in data Analytics, Statistics, Computer Science, or a related field, preferred.
One year of experience in data analysis, preferably in fintech, banking, or compliance-focused roles.
Proficiency in SQL, Python, or R for data analysis and manipulation.
Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Advanced knowledge of Excel, including pivot tables, and data analysis functions.
Familiarity with KYC (Know Your Customer) processes and ID verification systems is a plus.
Physical Requirements :
Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.
MyBambu Benefits :
Excellent medical coverage.
Fifteen (15) days of Paid Time Off.
Seven (7) days of Paid Holidays.
Our small family corporate culture.
Apply Now