What Jobs are available for Remote Lead Data Scientist Financial Analytics in Kenya?
Showing 1425 Remote Lead Data Scientist Financial Analytics jobs in Kenya
Senior Data Scientist - Financial Analytics
Posted 1 day ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms to solve complex financial problems.
- Analyze large, structured and unstructured datasets to identify trends, patterns, and insights related to financial markets, customer behavior, and risk management.
- Develop and maintain predictive models for areas such as credit scoring, fraud detection, market forecasting, and customer lifetime value.
- Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
- Clean, transform, and prepare data for modeling and analysis.
- Perform A/B testing and evaluate the performance of implemented models.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Stay up-to-date with the latest research and advancements in data science, machine learning, and financial analytics.
- Ensure the ethical and responsible use of data in all analytical endeavors.
- Contribute to the development and maintenance of data science infrastructure and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Minimum of 6 years of professional experience in data science or quantitative analysis, with a strong emphasis on financial services.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
- Strong SQL skills for data extraction and manipulation.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is preferred.
- Deep understanding of financial markets, banking products, and risk management principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex ideas effectively.
- Demonstrated ability to work independently and collaboratively in a remote setting.
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Job Description
Job Summary
We are seeking a highly skilled Data Analyst with a strong focus on financial modeling. In this role, financial modeling is the core responsibility—you will spend most of your time building and refining models that drive strategic client decisions. Data skills (SQL, Python, BigQuery) will enable you to scale and optimize that work.
This role is client-facing: you'll collaborate directly with CFOs and other analysts to deliver outputs seen by clients. Accuracy, clarity, and attention to detail are critical, as mistakes can directly impact client trust. The ideal candidate is passionate about financial modeling, eager to learn across industries, and thrives in a collaborative, fast-changing environment.
Key Responsibilities
1. Financial Modeling (Core)
o Build, refine, and maintain cash flow forecasts, KPI analytics, and operating financial models.
o Ensure models are modular, intuitive, and user-friendly, enabling broad usability across multiple clients.
o Translate P&L statements, KPIs, and financial data into actionable forecasts and insights.
2. Client-Facing Analysis
o Deliver financial insights directly to clients with clarity and professionalism.
o Collaborate with CFOs and analysts to provide strategic recommendations.
o Adapt quickly to different industries and business models—no two clients are alike.
3. Data Analysis & Reporting
o Use SQL (preferably Google BigQuery) to collect and analyze datasets.
o Apply Python for advanced data processing, automation, and visualization.
o Support the design of scalable systems for financial data and KPI analysis.
4. Collaboration & Problem-Solving
o Work closely with cross-functional teams in a highly collaborative environment.
o Contribute to new approaches, dashboards, and tools that push the boundaries of how CFOs operate.
o Approach challenges with creativity, intellectual sharpness, and entrepreneurial spirit.
Required Qualifications
· Bachelor's degree from a top-tier university in Data Analytics, Finance, Computer Science, Engineering or a related field.
· Proven expertise in financial modeling (cash flow forecasting, KPI analytics, operating models).
· Proficiency in SQL and Python.
· Strong financial acumen and understanding of operating-level finance.
· Excellent analytical and problem-solving skills with attention to detail.
Preferred Qualifications
· Experience with Google BigQuery or similar cloud SQL environments.
· Familiarity with data pipelines, ETL processes, or scalable data workflows.
· Exposure to cloud platforms such as GCP.
· Advanced Excel/Google Sheets skills for financial modeling.
· Experience with B2C (consumer product) companies.
· Familiarity with BI/analytics tools such as Looker, Tableau, or dbt (helpful, not required).
Soft Skills
· Passion for financial modeling—comfortable working on it daily.
· High accountability: understands the sensitivity of client-facing work.
· Strong communication skills to explain complex insights clearly.
· Ability to learn quickly and adapt to changing client needs.
· Entrepreneurial mindset with curiosity and creativity.
What You'll Gain
· Exposure to a wide range of clients, industries, and metrics.
· The opportunity to build financial products and models that shape CFO functions across companies.
· A collaborative environment where sharp thinkers and problem-solvers thrive.
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Lead Financial Data Analyst
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Remote Financial Analyst - Investment Research
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Remote Financial Data Analyst
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Senior Financial Data Analyst - Remote
Posted 1 day ago
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Job Description
Key Responsibilities:
- Collect, aggregate, and analyze large volumes of financial data from various sources.
- Develop and maintain financial models for forecasting, budgeting, and strategic planning.
- Identify trends, patterns, and anomalies in financial data to provide actionable insights.
- Prepare comprehensive financial reports, dashboards, and presentations for senior management and other stakeholders.
- Collaborate with accounting and finance teams to ensure data accuracy and integrity.
- Develop and implement data validation processes to maintain high-quality financial information.
- Utilize advanced statistical techniques and data visualization tools to communicate complex findings effectively.
- Monitor key financial performance indicators (KPIs) and provide regular updates.
- Support ad-hoc financial analysis requests from different departments.
- Stay abreast of financial regulations, accounting standards, and industry best practices.
- Recommend improvements to financial systems and processes based on data analysis.
- Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related quantitative field. A Master's degree is a plus.
- Minimum of 6 years of experience in financial analysis, accounting, or a related role.
- Proven expertise in financial modeling, forecasting, and budgeting.
- Proficiency in data analysis tools such as Excel (advanced functions, VBA), SQL, Python, or R.
- Strong understanding of accounting principles and financial statements.
- Experience with business intelligence (BI) tools (e.g., Tableau, Power BI) for data visualization is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex financial concepts to non-financial audiences.
- Ability to work independently, manage multiple priorities, and meet deadlines in a remote setting.
- Experience with ERP systems (e.g., SAP, Oracle) is a plus.
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Remote Legal Research Analyst
Posted 1 day ago
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Job Description
Responsibilities include:
- Conducting comprehensive legal research using various databases and resources.
- Analyzing statutes, regulations, case law, and legal precedents.
- Summarizing complex legal documents and findings clearly and concisely.
- Assisting legal professionals in preparing for trials, hearings, and client consultations.
- Identifying relevant legal arguments and counter-arguments.
- Drafting legal memos, briefs, and other legal documents based on research findings.
- Staying updated on changes in legislation and legal trends.
- Maintaining an organized system for tracking research projects and findings.
- Collaborating remotely with attorneys and paralegals to understand research needs.
- Ensuring the accuracy and completeness of all legal research conducted.
- Verifying citations and legal references.
The ideal candidate will hold a law degree or a paralegal certification, coupled with demonstrable experience in legal research. Exceptional written and verbal communication skills are essential. Strong analytical and critical thinking abilities, along with meticulous attention to detail, are paramount. Proficiency in legal research databases (e.g., LexisNexis, Westlaw) is required. This role demands a high degree of independence, self-motivation, and the ability to manage workload effectively in a remote setting. You should be comfortable working with sensitive legal information and maintaining strict confidentiality. This is an excellent opportunity for a legal professional looking to contribute their expertise in a flexible, remote capacity, supporting our operations in Kericho, Kericho, KE .
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Remote Legal Research Associate
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct comprehensive legal research using online databases and archives.
- Analyze statutes, regulations, and judicial decisions.
- Prepare detailed legal memoranda and research reports.
- Summarize complex legal information for attorneys.
- Monitor legislative updates and legal developments.
- Maintain organized records of research conducted.
- Collaborate remotely with legal team members.
- Ensure accuracy and adherence to legal citation standards.
- Law degree (LLB) or equivalent legal qualification.
- Proven experience in legal research.
- Proficiency with legal research platforms (e.g., LexisNexis, Westlaw).
- Exceptional analytical and critical thinking skills.
- Excellent written and verbal communication abilities.
- Strong organizational and time management skills.
- Ability to work independently and meet deadlines.
- High level of integrity and attention to detail.
- Familiarity with various legal fields relevant to corporate law or litigation.
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