Provide the overall leadership, vision, and direction for risk management

• Provide the overall leadership, vision, and direction for risk management
• Establish an integrated risk management framework for all aspects of risks across the bank;
• Develop risk management policies, including the quantification of the Bank’s risk appetite through specific risk limits
• mplement a set of risk metrics and reports, including losses and incidents, key risk exposures, and early warning indicators
• Allocate capital to exposures based on risk, and optimize the bank’s risk portfolio through business activities and risk transfer strategies
• mprove the bank’s risk management readiness through communication and training programs, performance measurement and incentives, and other change management programs
• Develop the analytical, systems and data management capabilities to support the risk management program

• Risk Control mindset: Should show mastery of risk disciplines at a bank-wide and integrated level, risk processes, tools and techniques, capital management, risk-related regulations and compliance.
• Technical Knowledge: Should have a strong understanding of statistics and quantitative data analysis methods. Should have an understanding of different risk management related IT/software applications.
• Keen business acumen – Business and financial judgment, and problem-solving skills are crucial requirements.
• Strong process orientation – A strong understanding of banking processes and operations.
• Intellectual curiosity and analytical approach to work
• Ability to influence a culture of risk awareness in the organization.
• Independent thought leadership to strategic decisions and debate
• Ability to lead and exercise authority through expertise, and experience, showing both strategic and operational understanding of the business model.
• Strong big-picture and strategic orientation yet detail focused.
• Strong sense of collaboration and ability to develop positive relationships with key business stakeholders and demonstrate respectful, constructive negotiating skills.
• Leadership ability to inspire and motivate others to perform well through continuous feedback.
• Excellent written and oral communication skills, with proven ability to present and explain complex information and suggest process improvements to a diverse audience including operations and Senior Management and the Board.

For effective execution of the functions of a CRO, the candidate must ideally have strong functional experience, exposure to regulatory interactions, strong technology orientation, and a keen eye for detail. He/ she must be a team player with Vision who can share and shape the destiny of the Bank’s vision. Must be able to develop and articulate insights and mentor the team in alignment with the Bank’s Vision.

•  Bachelor’s Degree in Finance, Business or related field ▪ Master’s Degree, FRM or other advanced certification preferred.
• Minimum 15+ years combined experience in banking and finance, of which at least 5 years in risk management related roles. Experience in microfinance operations and specialization in some areas such as credit, operations, foreign exchange/investment is also required.
• In-depth understanding of regulatory compliance requirements. Should be well versed with the regulatory environment. Knowledge in global regulatory environment/practices is preferred.

•  Consulting with managers to determine and refine machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to improve predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.

• Bachelor's degree in computer science, data science, mathematics, or a related field.
• Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
• At least two years' experience as a machine learning engineer.
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.

• You are a voracious learner, especially in the areas of technology, service design patterns and system architecture.
• Bachelor's degree in Computer Science or related discipline or equivalent experience
• 4 to 5+ years back-end software development experience across multiple technologies, languages and frameworks willing to learn front-end
• Excellent coding skills in Java and proficiency with HTML, XML and JSON
• Experience working with Rest APIs and familiarity with development of services using Spring Boot on Cloud (e.g. AWS)
• Experience working around Spring Boot
• Experience using code versioning tools for e.g. Git.
• Good communication and ability to explain technical details and challenges to a variety of audiences
• Experience with Agile development methodology
• Flexible in learning and understanding both front-end as well as back-end services
• Ability to work in a diverse organization with global, decentralized teams working across multiple locations
• Strong programming & designing skills (Java from 1.8 with Spring (Boot, Core, MVC, Security))
• Familiar with Microservices architecture (Docker, Kubernetes)
• Can write good tests and has good troubleshooting/debugging skills
• Good communication and should have ability to work across teams
• Exposure to Cloud computing. AWS is preferred

•  Design, develop, debug and modify web services within flights' micro services stack
• Write clean code utilizing object-oriented design principles, data structures and algorithms
• Create and maintain Kotlin services and components that interact within and outside of client's technical stack
• Write automated unit, integration and acceptance tests as appropriate to support our continuous integration pipelines
• Performance and load test services and components you write from scalability and resiliency standpoint
• Practice resilience engineering for every frontend/backend component you build and evangelize resilience within the team
• Support and maintain the flights services and micro services stack
• Collaborate with Product team, architects and peer engineers
• Help design and build reusable frameworks and libraries to simplify development
• Participate in peer code reviews and advocate for best coding practices and principles

• Develop and manage client portfolios.
• Sustain business growth and profitability by maximizing value.
• Analyze customer data to improve customer experience.
• Hold product demonstrations for customers.
• Improve onboarding processes.
• Evaluate and improve tutorials and other communication infrastructure.
• Mediate between clients and the organization.
• Handle and resolve customer requests and complaints.
• Minimize customer churn.
• Aid in product design and product development.

•  Communications or marketing degree.
• Highly organized and able to multi-task.
• Self-driven and proactive nature.
• Excellent communication and interpersonal skills.
• Demonstrate leadership qualities.
• High computer literacy and ability to learn new software.
• Knowledge of customer success processes.
• Experience in document creation.
• Patient and active listener.
• Passion for service