323 Accounts Management jobs in Kenya

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.

Your day at NTT DATA
The Client Success Learner role is designed as a developmental position for individuals interested in building a career in client success management. The learner will work closely with experienced Client Success Specialists to understand best practices in managing Tier 3 client accounts and supporting the contracting process. The role emphasizes learning, shadowing, and gradually taking on responsibilities with guidance.

Key Responsibilities:
Client Relationship Development:

• Learn how to nurture and maintain professional relationships with client representatives, under the guidance of a Client Success Specialist.
• Observe and support in ensuring clients engage successfully with the organization.
• Participate in calls/meetings to understand how client satisfaction (CSAT) is monitored and improved.
• Assist in escalating issues through proper channels, learning how to facilitate resolution in collaboration with resolver groups.

Contract Management:

• Support in drafting contracts and scopes of work while gaining exposure to contract management best practices.
• Learn the process of ensuring timely client execution and handover to delivery teams.
• Gain an understanding of compliance and governance in contracting.

Adoption Support:

• Shadow Client Success Specialists to learn how clients adopt service features and increase usage.
• Assist in gathering client feedback and usage data to support adoption initiatives.
• Observe how value realization is demonstrated to clients.

Expansion & Renewal Awareness:

• Learn how to identify potential opportunities for up-selling and cross-selling.
• Gain exposure to renewal processes by assisting in preparation for on-time contract renewals.
• Support in documenting key client milestones that contribute to renewals and expansions.

Client Success Practice:

• Participate in team learning sessions, knowledge-sharing forums, and internal training on client success practices.
• Learn about data quality management, reporting, and maintaining accurate client information.
• Assist in onboarding Tier 3 accounts on the service portal.
• Gain hands-on experience with tools, methodologies, and client success KPIs.

Knowledge and Attributes:

• Building strong interpersonal and communication skills to interact effectively with stakeholders.
• Developing foundational knowledge in account planning, stakeholder management, and IT service environments.
• Learning about ITIL practices, contract management, and billing processes.
• Gaining exposure to financial and strategic aspects of client success (renewals, churn reduction, value realization).
• Understanding the company's offerings, positioning, and service portfolio.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in Information Technology, Business, Sales, or a related field (preferred but not required for entry-level learners).
• Interest in pursuing ITIL foundation certification, Client success certifications and related industry certifications during the role.

Required experience:

• Entry-level experience or academic background in IT services, client management, sales, or related fields.
• Demonstrated eagerness to learn, strong organizational skills, and ability to work collaboratively in a team environment.
• Previous internship, academic project, or exposure to client-facing roles is an advantage but not mandatory.

Workplace type:
Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an

email address. If you suspect any fraudulent activity, please
contact us
.

• Prepare and analyze monthly, quarterly, and annual financial reports for management.
• Develop and manage budgets, forecasts, and long-range financial plans.
• Conduct variance analysis, identifying key drivers and providing explanations for deviations from plan.
• Perform financial modeling and scenario analysis to support strategic initiatives.
• Monitor key performance indicators (KPIs) and provide insights into business performance.
• Collaborate with various departments to gather financial data and understand business operations.
• Assist in the implementation and improvement of financial systems and processes.
• Provide financial support and analysis for new business opportunities and projects.
• Ensure compliance with accounting policies and procedures.
• Contribute to the development of financial dashboards and reporting tools.

• Bachelor's degree in Accounting, Finance, or a related field. Professional certification (CPA, ACCA, CMA) is highly desirable.
• Minimum of 5 years of progressive experience in financial analysis and management accounting.
• Proven experience in budgeting, forecasting, and financial modeling.
• Strong understanding of accounting principles (IFRS/GAAP).
• Proficiency in financial software (e.g., SAP, Oracle, QuickBooks) and advanced Excel skills.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to present complex financial information clearly.
• Experience working effectively in a remote team environment.
• High level of accuracy and attention to detail.
• Ability to work independently and manage multiple priorities in a remote setting.

• Develop and implement robust financial risk management strategies, policies, and procedures across the organization.
• Oversee the identification, assessment, measurement, and mitigation of financial risks, including market, credit, liquidity, and operational risks.
• Ensure compliance with all applicable banking regulations and reporting requirements (e.g., Basel Accords, local regulatory mandates).
• Lead and mentor a team of risk management professionals, fostering a culture of risk awareness and accountability within a remote setting.
• Design and manage stress testing and scenario analysis programs to evaluate the institution's resilience.
• Develop and maintain risk models, methodologies, and Key Risk Indicators (KRIs).
• Present risk reports and strategic recommendations to senior management and the Board of Directors.
• Collaborate with business units to integrate risk management principles into strategic planning and day-to-day operations.
• Stay current with industry best practices, emerging risks, and regulatory changes.
• Manage relationships with external auditors and regulators on risk-related matters.

• Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field. A Ph.D. is a plus.
• A minimum of 10 years of progressive experience in financial risk management, with at least 5 years in a leadership role within the banking or financial services industry.
• Strong understanding of regulatory frameworks governing financial institutions.
• Proven expertise in quantitative risk modeling, financial analytics, and risk assessment techniques.
• Excellent knowledge of financial markets, instruments, and trading strategies.
• Demonstrated ability to lead and manage teams effectively in a remote work environment.
• Exceptional analytical, problem-solving, and decision-making skills.
• Strong communication and presentation skills, with the ability to convey complex information clearly and concisely to various stakeholders.
• Professional certifications such as FRM, CFA, or PRM are highly desirable.
• Proficiency in risk management software and data analytics tools.

• Master's or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, Economics, or a related discipline.
• Minimum of 5 years of experience in quantitative analysis or financial modeling within the banking or financial services industry.
• Proven expertise in developing and validating risk models (market risk, credit risk, operational risk, VaR, CVA, etc.).
• Advanced proficiency in programming languages commonly used in quant finance, such as Python (NumPy, SciPy, Pandas), R, C++, or MATLAB.
• Strong knowledge of statistical modeling, econometrics, time-series analysis, and machine learning techniques.
• Experience with financial databases and data manipulation tools.
• Familiarity with financial regulations and compliance requirements in the banking sector.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and manage complex projects in a remote environment.

• Develop, implement, and validate quantitative models for market risk, credit risk, and operational risk assessment.
• Design and perform complex statistical analysis and financial modeling to support risk management strategies.
• Conduct stress testing and scenario analysis to evaluate portfolio resilience under adverse market conditions.
• Contribute to the development and enhancement of pricing models for various financial instruments.
• Collaborate with front-office and middle-office teams to understand their analytical needs and provide solutions.
• Ensure compliance with regulatory requirements (e.g., Basel III, IFRS 9) through robust model development and validation.
• Communicate complex quantitative findings and model limitations clearly to management and stakeholders.
• Research and apply advanced statistical techniques and machine learning algorithms to risk modeling.
• Maintain and enhance existing quantitative models, ensuring their accuracy and relevance.
• Stay current with industry best practices and regulatory changes in financial risk management.

• Master's or Ph.D. in a quantitative field such as Finance, Economics, Statistics, Mathematics, or Physics.
• Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong knowledge of financial markets, instruments, and derivatives.
• Experience with statistical modeling, econometrics, and machine learning techniques.
• Familiarity with regulatory frameworks affecting financial institutions.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills for conveying technical information to diverse audiences.
• Proven ability to work independently and collaboratively in a remote setting.

• Develop, implement, and validate quantitative models for pricing financial instruments and managing risk.
• Perform complex data analysis, statistical modeling, and back-testing of model performance.
• Contribute to the development of risk measurement methodologies, including VaR, Expected Shortfall, and stress testing.
• Collaborate with front-office and middle-office teams to provide quantitative support and solutions.
• Ensure all models comply with regulatory requirements (e.g., Basel III/IV, IFRS 9) and internal policies.
• Research and propose innovative quantitative techniques to address emerging financial risks.
• Develop robust code for model implementation and deployment in production environments.
• Communicate model assumptions, methodologies, and results effectively to senior management and regulatory bodies.
• Mentor junior analysts and contribute to the team's knowledge base and best practices.

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
• Minimum of 5-7 years of relevant experience in quantitative analysis, risk management, or financial modeling within the financial services industry.
• Deep understanding of financial markets, derivatives, fixed income, and equity products.
• Strong proficiency in at least one programming language (e.g., Python, C++, R) and experience with quantitative libraries.
• Expertise in statistical modeling, econometrics, time series analysis, and machine learning.
• Familiarity with financial databases (e.g., Bloomberg, Reuters) and large-scale data manipulation.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex quantitative concepts clearly.
• Ability to work independently and collaboratively in a remote, international team setting.