Latest Jobs at Interswitch

Job Purpose:

• To drive sales strategy translation into a sales plan and detailed activities with the primary purpose of driving sales growth and achieving revenue targets for their assigned state.
• To drive adoption of sales operational policies, monitor overall strategy implementation against timeline and budgetary margins.
• To enhance service delivery and engagement with relevant stakeholders and periodic reports on progress and achieved milestones with the BU and Regional heads.

RESPONSIBILITIES

• Develop and implement relationship management plans for complex existing customer and partner accounts to identify and build relationships with relevant decision makers and influencers within the customer organisation and to enable effective two-way flow of information and resolution of issues.
• Manage ongoing relationships with identified customer segments to ensure their needs are met, providing themes, summary analyses, and recommendations for changes based on customer input.
• Maintain sales tools and methods and deploy consistent communications channels with customers to enhance service delivery.
• Manage key aspects of the data management system. This includes being responsible for developing or operating key elements of the system.
• Contribute to the design and creation of reporting strategies and templates.
• Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations for focus area
• Develop a personal network within the business sector and represent Interswitch at business sector events.
• Obtain market intelligence and enhance the visibility and reputation of Interswitch, its products, and its services.
• Set and manage achievement of contributing individuals and regional targets.
• Contribute to the Sales plan by providing input regarding the implementation of initiatives.
• Configure a complex product and services solution and associated contractual terms that meet the customer's mid- to long-term needs, taking input from relevant internal specialists.
• Present the solution to customer representatives and negotiate agreement within a pre-defined range of commercial parameter.
• Develop internal marketing plans, work collaboratively with other departments to improve internal relationships and build strong external customer relationships.
• Use data from a wide range of sources to analyze key themes, and identify trends of customers’ interests, direction and sales as well as suggest changes to products and services accordingly.
• Oversee deployment of sales network integration, and handle communication and negotiation with business partners, service providers, and subsidiaries.
• Attend meetings with relevant stakeholders and acquire sales and risk management processes and share them with sales executives and execution team.
• The Sales Manager must be able to not only formulate but also effectively execute strategic plans, for achieving objectives. Their contribution to the formation of a key element of functional strategy through specialist expertise and insights is key to ensure that the regional strategy meets business needs.

EDUCATION

• University Post Graduate Degree in Sales and Marketing, Business, Economics or Finance-related field.

EXPERIENCE

• At least 6 years of wide and deep experience in Sales and Business Development roles within reputable financial institutions or the payments industry, including a minimum of 3 years of customer-facing experience in the FinTech space.

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Job Purpose

• To drive sales strategy translation into a sales plan and detailed activities, with reference to Interswitch overall sales strategic direction, with the primary purpose of driving sales growth and achieving revenue targets for their assigned region.
• To drive adoption of sales operational policies, monitor overall strategy implementation against timeline and budgetary margins.
• To enhance service delivery and engagement with relevant stakeholders and periodic reports on progress and achieved milestones.
• To oversee the administration of the regional office and all ISW staff that operate from the regional offices.

Job Responsibilities:

• Coordination of sales/BD and other operational requirements of the assigned regional cluster.
• This covers all existing and prospective customers and partners as well as regional office management.
• Develop and implement relationship management plans for complex existing customer and partner accounts to identify and build relationships with relevant decision makers and influencers within the customer organisation and to enable effective two-way flow of information and resolution of issues.
• Manage ongoing relationships with identified customer segments to ensure their needs are met, providing themes, summary analyses, and recommendations for changes based on customer input.
• Maintain sales tools and methods and deploy consistent communication channels with customers to enhance service delivery.
• Manage key aspects of the data management system. This includes being responsible for developing or operating key elements of the system.
• Contribute to the design and creation of reporting strategies and templates.
• Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations.
• Have a matrixed reporting line responsibility for administration and management of all ISW staff that sit in the regional office.
• Develop a personal network within the business sector and represent Interswitch at business sector events.
• Obtain market intelligence and enhance the visibility and reputation of Interswitch, its products, and its services.
• Set and manage achievement of contributing individuals and regional targets.
• Contribute to the Sales plan by providing input regarding the implementation of initiatives.
• Configure a complex product and services solution and associated contractual terms that meet the customer's mid- to long-term needs, taking input from relevant internal specialists.
• Present the solution to customer representatives and negotiate agreement within a pre-defined range of commercial parameter.
• Develop internal marketing plans, work collaboratively with other departments to improve internal relationships and build strong external customer relationships.
• Use data from a wide range of sources to analyze key themes, and identify trends of customers’ interests, direction and sales as well as suggest changes to products and services accordingly.
• Oversee deployment of sales network integration, and handle communication and negotiation with business partners, service providers, and subsidiaries.
• Attend meetings with relevant stakeholders and acquire sales and risk management processes and share them with sales executives and execution team.
• The Regional Business Head must be able to not only formulate but also effectively execute strategic plans, in driving the region toward achieving its objectives.
• Their contribution to the formation of a key element of functional strategy through specialist expertise and insights is key to ensure that the regional strategy meets business needs.

EDUCATION

• University Graduate Degree

EXPERIENCE

• At least 10 years of wide and deep experience in Sales and Business Development roles within reputable financial institutions or the payments industry, including a minimum of 5 years of customer-facing experience in the FinTech space.
• At least 5 years' experience of planning and managing resources to deliver predetermined objectives.

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Job Summary

• To lead and manage a high performing team of data scientists and machine learning engineers to continuously deliver results
• To manage the entire lifecycle of data science products/portfolio and drive the development of new machine learning capabilities tandem with delivering business value using advanced analytics

Key Responsibilities:

Leadership & Team Management:

• Lead, mentor, and inspire a team of data scientists, providing guidance on best practices in machine learning, statistical modeling, and data-driven decision-making.
• Facilitate career development and foster a culture of continuous learning and experimentation within the team.

Product Management:

• Collaborate with business development, product managers, and other stakeholders to enhance existing data science products.
• Actively engage in product lifecycle management, ensuring alignment with business objectives and customer needs.
• Oversee the deployment and maintenance of machine learning models in production, ensuring robustness and scalability.

Solution Innovation & Development:

• Design and build new data-driven products and services, leveraging machine learning, AI, and advanced analytics to meet evolving business demands.
• Explore innovative applications of data science to create additional value for our platform.
• Infuse machine learning capabilities into operational processes, improving efficiency and accuracy across workflows.

Collaboration & Cross-Functional Partnership:

• Work closely with business development teams to explore new opportunities for data solutions, acting as the technical counterpart to foster data-driven partnerships.
• Collaborate with product managers to define technical requirements for new features and enhancements, ensuring seamless integration of data science solutions.

Research & Development:

• Stay up to date with the latest advancements in machine learning, data engineering, and AI technologies.
• Lead the R&D efforts on emerging techniques such as natural language processing, reinforcement learning, and predictive modeling, ensuring continuous improvement in product offerings.

Performance Monitoring & Optimization:

• Establish and track key performance indicators (KPIs) for all data science initiatives, ensuring measurable impact on business growth and operational efficiency.
• Drive continuous improvement in the performance of deployed models, optimizing for speed, accuracy, and interpretability.
• Drive MLOPS best practices and Infrastructure improvement for all ML/DS initiatives.

Academic Qualification(s):

• Bachelor's degree in Computer Science, Engineering, or a related field

Professional Qualification(s):

• Not mandatory

Experience (Number of relevant years):

• Minimum of 7 years in Data Science, Machine Learning and Advanced analytics preferably from the fintech, telco or banking sectors.
• 2-3 years leading junior data scientists
• Proven experience in designing, developing, and deploying data science products in production environments.