Risk Data Analyst

Vintti is a strategic staffing agency that enhances the competitiveness of US businesses. By connecting SMBs, startups, and firms with highly skilled Latin American professionals, we offer a cost-effective solution to talent acquisition. Our model allows companies to access top-tier expertise at rates that significantly reduce overhead costs, enabling businesses to allocate resources more efficiently and boost their bottom line.

A Risk Data Analyst plays a critical role in identifying, assessing, and mitigating potential risks within an organization. Leveraging advanced data analytics techniques, they collect and analyze vast amounts of data to uncover trends and patterns that could indicate various risks, such as financial, operational, or compliance-related threats. They work closely with cross-functional teams to develop risk mitigation strategies, create predictive models, and generate insightful reports that inform decision-making processes. By maintaining a keen eye on emerging risks and ensuring data accuracy, Risk Data Analysts help protect the organization's assets and enhance overall stability.

- Bachelor's degree in Finance, Economics, Statistics, Data Science, Computer Science, or related field.
- Minimum of 3 years of experience in risk analysis, data analysis, or a related field.
- Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
- Strong knowledge of statistical analysis and modeling techniques.
- Experience with machine learning methodologies and tools.
- Familiarity with risk management frameworks and regulatory requirements.
- Proficient in data visualization tools such as Tableau or Power BI.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to interpret complex data and create actionable insights.
- Experience working with large datasets and real-time data feeds.
- Detail-oriented with strong organizational skills.
- Ability to work collaboratively in cross-functional teams.
- Proven ability to automate data analysis processes.
- Up-to-date knowledge of industry trends and emerging risks.
- Experience with scenario analysis and stress testing.
- Understanding of data quality and integrity best practices.
- Ability to train and mentor junior analysts.
- Strong track record of producing detailed risk reports and dashboards.
- Experience in liaising with data engineers and IT teams for data infrastructure improvement.
- Ability to produce ad-hoc risk analysis and reports as required.

- Compile, analyze, and interpret large datasets to identify potential risk factors and trends.
- Develop and maintain risk assessment models using statistical and machine learning techniques.
- Monitor real-time data feeds to detect and respond to emerging risks.
- Collaborate with cross-functional teams to gather relevant data and insights for risk analysis.
- Conduct scenario analysis and stress testing to evaluate the impact of various risk factors.
- Prepare and present detailed reports and dashboards on risk metrics to stakeholders and senior management.
- Support the development and enhancement of risk management frameworks and processes.
- Ensure data quality and integrity by performing regular audits and validation checks.
- Participate in risk governance meetings and provide data-driven recommendations.
- Automate repetitive data analysis and reporting tasks using scripting and programming languages.
- Stay updated with industry trends, regulatory changes, and emerging risks to inform analysis.
- Liaise with data engineers and IT teams to improve data infrastructure and tooling.
- Produce ad-hoc risk analysis and reports as required by internal teams and external regulatory bodies.
- Train and support junior analysts in data analysis methodologies and risk management tools.
- Track and report key risk indicators (KRIs) and maintain risk dashboards.

The ideal candidate for the Risk Data Analyst role is a highly analytical and solutions-oriented professional with a minimum of three years of experience in risk or data analysis, possessing a strong educational background in Finance, Economics, Statistics, Data Science, Computer Science, or a related field. They exhibit high proficiency in data analysis tools and programming languages such as SQL, Python, or R, coupled with a deep understanding of statistical analysis, modeling techniques, and machine learning methodologies. Demonstrating exceptional ability to interpret complex datasets, they can generate actionable insights and create detailed reports and visualizations using tools like Tableau or Power BI. This candidate is detail-oriented, organized, and committed to maintaining data quality and integrity, with a proven track record of automating data analysis processes. Strong communication and presentation skills are essential, enabling them to effectively convey findings to stakeholders and senior management. They are adept at scenario analysis, stress testing, and work collaboratively within cross-functional teams, including data engineers and IT teams, to enhance data infrastructure and tooling. Up-to-date with industry trends and regulatory changes, they proactively identify and respond to emerging risks, ensuring that risk management frameworks are robust and effective. Additionally, they possess strong mentoring abilities, supporting junior analysts in their professional development, and thrive in fast-paced, dynamic environments where continuous learning and adaptation are critical.

- Compile, analyze, and interpret large datasets to identify potential risk factors and trends.
- Develop and maintain risk assessment models using statistical and machine learning techniques.
- Monitor real-time data feeds to detect and respond to emerging risks.
- Collaborate with cross-functional teams to gather relevant data and insights for risk analysis.
- Conduct scenario analysis and stress testing to evaluate the impact of various risk factors.
- Prepare and present detailed reports and dashboards on risk metrics to stakeholders and senior management.
- Support the development and enhancement of risk management frameworks and processes.
- Ensure data quality and integrity by performing regular audits and validation checks.
- Participate in risk governance meetings and provide data-driven recommendations.
- Automate repetitive data analysis and reporting tasks using scripting and programming languages.
- Stay updated with industry trends, regulatory changes, and emerging risks to inform analysis.
- Liaise with data engineers and IT teams to improve data infrastructure and tooling.
- Produce ad-hoc risk analysis and reports as required by internal teams and external regulatory bodies.
- Train and support junior analysts in data analysis methodologies and risk management tools.
- Track and report key risk indicators (KRIs) and maintain risk dashboards.

- Analytical mindset with strong problem-solving abilities
- High proficiency in data analysis tools and programming languages
- Strong knowledge of statistical analysis and modeling
- Expertise in machine learning methodologies and tools
- Keen attention to detail and strong organizational skills
- Excellent communication and presentation skills
- Ability to translate complex data into actionable insights
- Collaborates effectively with cross-functional teams
- Up-to-date with industry trends and regulatory changes
- Proven track record of automating data analysis processes
- Ability to produce clear and detailed reports and dashboards
- Strong mentoring and training skills
- Proactive in identifying and responding to emerging risks
- Strong understanding of risk management frameworks
- Commitment to ensuring data quality and integrity
- Experience in handling large datasets and real-time data feeds
- Ability to conduct scenario analysis and stress testing
- Enjoys working in a fast-paced and dynamic environment
- Aptitude for liaising with data engineers and IT teams
- Driven to continuously learn and adapt to new tools and techniques

- Competitive salary range (dependent on experience and qualifications)
- Comprehensive health, dental, and vision insurance plans
- Generous paid time off (PTO) and holiday leave
- Retirement savings plan with company match
- Opportunities for professional development and continuing education
- Flexible work schedules and remote work options
- Performance-based bonuses and incentives
- Access to wellness programs and mental health resources
- Parental leave and family care support
- Employee assistance programs
- Life and disability insurance coverage
- Tuition reimbursement and certification support
- Collaborative and inclusive work environment
- Travel opportunities for conferences and professional events
- Advanced technology and tools for data analysis
- Regular team-building activities and social events
- Company-sponsored networking and mentorship programs
- Support for community involvement and volunteerism
- Discounts and offers through corporate partnerships