Optasia

Procurement

• Develop procurement strategies that are inventive and cost-effective.
• Source and engage reliable suppliers and vendors, focused on sourcing Hardware, Software and auxiliary equipment, implementation contracts, SLA contracts and logistic solutions.
• Negotiate with suppliers and vendors to secure advantageous terms.
• Review existing contracts with suppliers and vendors to ensure on-going feasibility.
• Maintain accurate purchase and pricing records.
• Build and maintain long-term relationships with vendors and suppliers.
• Log purchase orders and organize and confirm delivery of goods and services.
• Maintain proper HW stock aligned with the strategy and the needs of the company.
• Ensure that the Company’s asset Management application is always up-to-date.
• Produce insightful reports regarding the company’s asset status and proactive actions needed.
• Follow-up HW maintenance issues affecting the company’s live services.
• Perform risk assessments on potential contracts and agreements.
• Control the procurement budget and promote a culture of long-term saving on procurement costs.
• Oversee and manage the IT systems that track shipments, inventory, and the supply of goods.

Senior Procurement Manager, Fintech

Data Engineer

• Work closely with Data Architects, ML engineers and Data Analysts for the design, delivery and support of the company’s ETL and ML pipelines
• Develop and maintain our core libraries for batch processing and ingestion of large volumes of data
• Design and develop new processes for real-time streaming of data from multiple sources
• Develop and maintain the fast, accurate and efficient injection of data to the big data infrastructure
• Experiment with and adopt novel data engineering design patterns and technologies

Junior Data Engineer, Fintech

• Improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
• Design and develop end-to-end data processing pipelines
• Be comfortable navigating the following technology stack: Scala, Spark, Python3, scripting (Bash/Python), Hadoop, SQL etc.
• Design, build, test and deploy new libraries, frameworks or full systems while keeping to the highest standards of testing and code quality
• Develop, maintain and optimize our core libraries for batch processing and ingestion of large volumes of data to the big data infrastructure
• Build and maintain CI/CD orchestration

Data Engineer, Fintech

Operations

• Manage the day-to-day monitoring of ML workflows and service alerts as well as operations of all data system infrastructure including storage, applications, databases, systems management, cluster resources and administrative tasks
• Act as a point of escalation for ML and data critical incidents by verifying, determining the cause and resolving or escalating as necessary
• Prioritize continuous integration, continuous delivery, automation, and consistent feedback loops, ensuring that software changes are continuously moving from development to production smoothly and efficiently
• Monitor and prioritize incoming customer inquiries to ensure swift response and resolution within defined service level agreements (SLAs)
• Foster a culture of continuous improvement within the team by identifying areas for enhancement in processes, tools, and technologies
• Perform health checks and quality checks procedures to the ML and data workflows in order to verify operational excellence
• Work collaboratively with teams including ML/Data Engineering team, Algorithmic Trading and Portfolio teams, System & Network Administration to ensure alignment in effectively addressing internal or customer-related issues
• Create training materials, deliver sessions either in groups or one-on-one, and uphold technical documentation

ML & Data Ops Engineer, Fintech

Sales

• Develop and execute a comprehensive sales strategy for the East Asia & Pacific region to achieve revenue growth and market expansion goals.
• Identify opportunities and new verticals for Optasia’s products and services, driving adoption across diverse markets.
• Build and maintain strong relationships with key stakeholders, including clients, partners, and regulators.
• Collaborate with product, marketing, and operations teams to ensure the successful delivery of solutions tailored to client needs.
• Monitor market trends, competitive landscape, and regulatory developments to inform strategy and maintain Optasia’s competitive edge.
• Represent Optasia at industry events, conferences, and forums to enhance brand visibility and thought leadership.
• Prepare and present regular sales performance reports to the executive leadership team, highlighting key achievements and areas for improvement.
• Work cross divisions to prepare all the needed documents as: Presentations, Business Cases, Service Descriptions, or any other document

Senior Sales Manager – Fintech

Security Engineer

• Assist in Technical Projects, by proposing, deploying and maintaining appropriate security controls and solutions
• Participate in Systems and Infrastructures Audits, to ensure that security controls are correctly applied
• Analyze Security Alerts and respond to Security Incidents
• Support the Vulnerability Management Program, by analyzing VA and PenTest results, to propose mitigation actions
• Support with Customer initiated Audits
• Build and monitor Awareness training and Phishing campaigns
• Manage the deployed Security Platforms

Cyber Security Engineer, Fintech

Data Scientist

• Design and implement algorithmic solutions for revenues optimization though credit risk analysis.
• Deliver credit-risk insights through big data risk analytics.
• Development and implementation of portfolio risk assessment tools and procedures to monitor and manage credit risk.
• Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
• Identify and evaluate credit risk factors using advanced computational methods on large datasets.
• Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
• Collaborate closely with data scientists and data & machine learning engineers.
• Continuously refine and improve risk assessment methodologies to align with evolving market conditions.

Quantitative Risk Data Scientist, Fintech

• Design, develop and optimize advanced machine learning and statistical models that support risk management, pricing and decision-making processes.
• Lead end-to-end model development initiatives, from problem definition and solution design to production deployment and ongoing monitoring.
• Design algorithmic solutions that support performance and revenue optimization across Optasia’s products.
• Develop and evolve model frameworks, methodologies and best practices within the AI team.
• Work on complex financial products and large-scale decision-making systems, supporting real-time model use cases.
• Identify, evaluate and validate key model drivers and assumptions using large and complex datasets.
• Collaborate closely with quantitative risk experts, traders, data engineers and machine learning infrastructure engineers within the Data & Risk department.
• Ensure model robustness, explainability and alignment with internal governance and risk standards.
• Act as a technical reference point, clearly communicating model behavior, assumptions and trade-offs to business and senior stakeholders.

Senior Data Scientist, Fintech

• Design, develop and implement statistical and machine learning models that support risk management, pricing and data-driven decisioning.
• Build and maintain models that operate on large-scale datasets and support core product and risk decisions.
• Perform in-depth analysis on financial products to improve model performance and business outcomes.
• Contribute to the development of model monitoring, validation and performance tracking frameworks.
• Identify and evaluate key model drivers and assumptions using large and complex datasets.
• Collaborate closely with data scientists, quantitative risk experts and data & machine learning infrastructure engineers within the Data & Risk department.
• Monitor model performance and support continuous optimization and recalibration.

Data Scientist, Fintech

• Execute a comprehensive sales strategy to the assigned regions to achieve revenue growth and market expansion goals.
• Identify opportunities and new verticals for Optasia’s products and services, driving adoption across diverse markets.
• Build and maintain strong relationships with key stakeholders, including telcos, mobile wallet operators, partners and Financial Institutes/Banks.
• Collaborate with internal product, marketing, and operations teams to ensure the successful pitching and delivery of solutions tailored to client needs.
• Monitor market trends, competitive landscape, and regulatory developments to inform strategy and maintain Optasia’s competitive edge.
• Prepare and present regular sales performance reports for the executive leadership team, highlighting key achievements and areas for improvement.
• Work cross divisions to prepare all the needed documents as: Presentations, Business Cases, Service Descriptions, or any other document.

Sales Manager, Fintech

Program Manager

• Act as the CRO’s execution partner across his portfolio of strategic priorities
• Support agenda management, preparation, and follow-up for leadership meetings and key forums
• Prepare executive presentations, briefing materials, and decision documents
• Maintain a consolidated view of CRO initiatives and ensure clarity on priorities, ownership, and next steps
• Drive CRO-led strategic initiatives from concept through delivery
• Translate CRO priorities into clear programs, workplans, milestones, ownership, and timelines
• Lead and coordinate projects across regions, partnerships, deployments, and growth initiatives
• Actively enable and support functions reporting into the CRO, helping structure priorities, clarify ownership, and accelerate execution
• Own day-to-day coordination of CRO initiatives, ensuring momentum, accountability, and disciplined follow-through
• Track execution progress, manage dependencies, and surface risks early
• Partner closely with the Strategy / CSO team to translate strategic direction into executable initiatives within the CRO organization
• Help embed structured ways of working across CRO-led initiatives
• Contribute to governance around prioritization, sequencing, and delivery of strategic programs