Remote Data Entry Analyst – Credit & Fraud Risk Finance – Net Loss Provision Forecasting – careerzynith

About careerzynith

careerzynith is a global leader in financial services, renowned for its innovative approach to risk management, customer experience, and community impact. With a workforce spanning more than 130 countries, careerzynith combines cutting‑edge technology with a deep‑rooted commitment to ethical finance. Our mission is to empower individuals and businesses to thrive by delivering secure, reliable, and transparent financial solutions. As part of the careerzynith family, you will join a diverse, inclusive, and forward‑thinking community that values curiosity, collaboration, and continuous learning.

Role Overview

We are seeking a highly analytical and detail‑oriented Remote Data Entry Analyst to join our Credit & Fraud Risk Finance team. In this role, you will be responsible for producing data‑driven Net Loss Provision forecasts, developing credit‑risk insights, and delivering actionable recommendations to senior stakeholders across the organization. This position is fully remote, offering flexibility while providing exposure to the strategic heart of careerzynith's finance operations.

Key Responsibilities

• Develop and maintain robust forecasting models that predict net loss provisions on a daily, monthly, and annual basis.
• Analyze large‑scale data sets to identify trends, anomalies, and risk indicators related to credit performance and fraud activity.
• Partner with Risk, Collections, Marketing, and Finance teams to translate analytical findings into strategic business decisions.
• Prepare clear, concise, and visually compelling reports for senior leadership, including Chief Credit Officers and Finance LFOs.
• Drive awareness of emerging data, market, and portfolio trends across the organization, proactively recommending new analytical opportunities.
• Contribute to the Global Risk Finance roadmap by providing insight management on initiatives that support long‑term growth targets.
• Maintain data integrity and compliance with internal controls, ensuring all entries meet the highest standards of accuracy.
• Continuously refine data entry processes, leveraging automation tools and best practices to improve efficiency.

Essential Qualifications

• Bachelor’s degree in Finance, Economics, Statistics, Data Science, or a related quantitative field.
• Minimum 3 years of experience in risk analytics, credit modeling, or financial forecasting within a large‑scale organization.
• Strong proficiency in data manipulation tools such as SQL, Python, R, or SAS.
• Demonstrated ability to translate complex data sets into actionable business insights for non‑technical audiences.
• Excellent written and verbal communication skills, with a track record of presenting findings to senior executives.
• High level of attention to detail, accuracy, and a commitment to data integrity.
• Self‑starter attitude with the ability to work independently in a remote environment while collaborating effectively with cross‑functional teams.

Preferred Qualifications

• Advanced degree (MSc, MBA, or PhD) in a quantitative discipline.
• Experience with cloud‑based analytics platforms such as Snowflake, Azure, or AWS.
• Familiarity with risk management frameworks and regulatory requirements (e.g., Basel III, IFRS 9).
• Prior exposure to credit card or consumer finance portfolios.
• Certification in data analytics or risk management (e.g., FRM, CFA, CDMP).
• Proven project management experience, including the ability to lead cross‑departmental initiatives.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Technical Acumen: Mastery of statistical modeling, predictive analytics, and data visualization tools (Tableau, Power BI, etc.).
• Business Acumen: Understanding of how credit risk, fraud, and financial performance intersect with overall business strategy.
• Communication: Clear storytelling with data, tailoring messages for diverse audiences ranging from technical analysts to C‑suite executives.
• Collaboration: Strong teamwork orientation, comfortable influencing stakeholders across Risk, Finance, Marketing, and Operations.
• Adaptability: Thrive in a fast‑changing environment, quickly learning new tools, regulations, and market dynamics.
• Integrity & Ethics: Commitment to maintaining confidentiality and adhering to the highest ethical standards in data handling.

Career Development & Learning Opportunities

At careerzynith, your growth is a priority. You will have access to a comprehensive learning ecosystem that includes:

• Mentorship programs pairing you with senior risk leaders and data scientists.
• Annual tuition reimbursement for relevant certifications or graduate courses.
• Internal training labs focused on advanced analytics, machine learning, and emerging fintech trends.
• Opportunities to rotate across different finance functions, gaining a holistic view of the business.
• Participation in global risk conferences and industry forums, expanding your professional network.

Work Environment & Culture

Our remote‑first philosophy is built on trust, flexibility, and empowerment. careerzynith fosters a culture where:

• Innovation is celebrated – you are encouraged to experiment with new analytical techniques and tools.
• Diversity and inclusion are core values – we actively seek diverse perspectives to enrich decision‑making.
• Work‑life balance is respected – flexible schedules, generous paid time off, and wellness programs support your well‑being.
• Collaboration transcends geography – virtual “coffee chats,” cross‑regional hackathons, and regular town‑hall meetings keep teams connected.
• Recognition is frequent – performance awards, peer‑to‑peer shout‑outs, and career milestones are highlighted company‑wide.

Compensation, Perks & Benefits

While exact figures vary by location and experience, careerzynith offers a competitive compensation package that includes:

• Base salary aligned with market benchmarks for remote data analytics roles.
• Performance‑based bonuses tied to the accuracy and impact of your forecasting work.
• Comprehensive health, dental, and vision coverage for you and eligible dependents.
• Retirement savings plans with company matching contributions.
• Generous paid parental leave, sick leave, and vacation time.
• Technology stipend for home office setup, high‑speed internet, and ergonomic equipment.
• Access to an employee assistance program, mental‑health resources, and wellness challenges.
• Employee discount programs for travel, entertainment, and partner services.

How to Apply

If you are ready to leverage your analytical expertise to shape the future of risk finance at a world‑class organization, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter outlining why you are the perfect fit for this remote opportunity at careerzynith.

Join careerzynith today and become part of a team that turns data into decisive action, drives sustainable growth, and makes a meaningful impact on millions of customers worldwide.