166 Senior Quantitative Analyst Algorithmic Trading Remote jobs in Nairobi

• Design, develop, and backtest quantitative trading strategies across various asset classes (e.g., equities, futures, FX, options).
• Build and maintain statistical models and machine learning algorithms for price prediction, risk management, and signal generation.
• Analyze large datasets to identify trading opportunities and market inefficiencies.
• Collaborate with portfolio managers and traders to implement and refine trading strategies.
• Optimize trading algorithms for execution efficiency and low latency.
• Monitor the performance of live trading strategies and make necessary adjustments.
• Conduct research into new quantitative techniques and financial market behaviors.
• Develop tools and infrastructure to support the quantitative research and trading process.
• Ensure the robustness and accuracy of quantitative models through rigorous testing and validation.
• Stay current with academic research and industry trends in quantitative finance and machine learning.
• Document research findings, model methodologies, and strategy performance.
• Contribute to the development of risk management frameworks for algorithmic trading.
• Present research findings and strategy proposals to senior management and trading desks.
• Ensure compliance with all relevant financial regulations and internal policies.

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
• Minimum of 5 years of experience in quantitative finance, algorithmic trading, or a closely related role.
• Proven track record of developing and implementing successful quantitative trading strategies.
• Strong expertise in statistical modeling, time-series analysis, and machine learning techniques.
• Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn), C++, or R.
• Deep understanding of financial markets, instruments, and trading mechanics.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work independently and manage multiple research projects in a remote setting.
• Experience with high-frequency trading (HFT) infrastructure and low-latency programming is a plus.
• Knowledge of database management and big data technologies.

• Develop, calibrate, and validate quantitative models for credit risk, market risk, operational risk, and other financial risks.
• Implement risk models into production environments, working closely with IT and business teams.
• Perform back-testing and sensitivity analysis of existing models to ensure accuracy and robustness.
• Contribute to regulatory compliance efforts, including stress testing and capital adequacy assessments.
• Analyze large datasets to identify trends, correlations, and potential risks.
• Develop reports and visualizations to communicate model results and risk insights to senior management and stakeholders.
• Stay abreast of the latest advancements in quantitative finance, risk modeling techniques, and regulatory changes.
• Collaborate with front-office, middle-office, and back-office teams to understand business needs and incorporate them into model development.
• Ensure model documentation is comprehensive, accurate, and compliant with internal and external standards.
• Mentor junior quantitative analysts and contribute to the team's technical expertise.
• Design and conduct simulation studies to assess model performance under various market conditions.

• Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering.
• 5+ years of experience in quantitative analysis, risk modeling, or a related role within the banking or financial services industry.
• Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
• Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
• Experience with financial databases and data manipulation tools.
• Solid understanding of banking regulations (e.g., Basel III/IV) and their impact on risk modeling.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Experience with data visualization tools is a plus.
• Knowledge of financial instruments and markets.

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.

• Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
• Analyze game footage and athlete movements to extract key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
• Create comprehensive reports and visualizations to communicate findings effectively.
• Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
• Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
• Contribute to the development of new data collection and analysis methodologies.
• Ensure data integrity and confidentiality.
• Present findings and recommendations in a compelling manner to stakeholders.

• Design, develop, and implement HR analytics strategies and solutions.
• Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
• Develop and maintain HR dashboards and reports to visualize key metrics and insights.
• Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
• Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Ensure data integrity, accuracy, and compliance with data privacy regulations.
• Stay current with the latest trends and best practices in HR analytics and people data science.
• Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
• Collaborate with IT and data management teams to ensure robust data infrastructure.

• Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
• Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
• Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication and presentation skills.
• Ability to work independently and manage multiple complex projects in a remote environment.
• Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
• Demonstrated ability to influence stakeholders and drive data-informed decision-making.
• Strong ethical grounding and commitment to data privacy.

• Design, develop, and implement sophisticated statistical models and algorithms to analyze sports performance data.
• Identify trends, patterns, and insights that can enhance athletic performance, strategy, and fan experience.
• Collaborate with coaches and athletes to understand their data needs and provide tailored analytical support.
• Lead and mentor a team of junior sports analysts, fostering a culture of innovation and continuous learning.
• Develop and maintain robust data pipelines and ensure data integrity.
• Create compelling data visualizations and reports to communicate findings to diverse audiences.
• Contribute to the development of new analytical tools and platforms.
• Stay current with advancements in sports analytics, machine learning, and relevant technologies.
• Present findings and recommendations to senior management and key stakeholders.
• Manage multiple analytical projects concurrently, ensuring timely delivery and impactful results.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in sports analytics or a related field, with a proven track record of leadership.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports and their underlying performance metrics.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Demonstrated ability to lead and manage a team in a remote setting.
• Strong problem-solving skills and a passion for sports innovation.

• Perform comprehensive financial statement analysis for publicly traded and private companies.
• Develop and maintain financial models, including discounted cash flow (DCF), comparable company analysis, and precedent transactions.
• Conduct industry and market research to identify trends, opportunities, and risks.
• Prepare detailed investment research reports, presentations, and memos for senior management and investment committees.
• Evaluate the financial performance and potential of investment opportunities across various sectors.
• Monitor macroeconomic factors and their potential impact on investment portfolios.
• Assist in due diligence processes for potential acquisitions or investments.
• Collaborate with portfolio managers and other stakeholders to provide analytical support.
• Stay current with financial regulations, market developments, and valuation methodologies.
• Ensure accuracy and integrity of all financial data and analyses.
• Present findings and recommendations clearly and concisely.

• Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field.
• Proven experience as a Financial Analyst, Investment Analyst, or in a similar role within the banking or finance sector.
• Strong understanding of financial modeling, valuation techniques, and accounting principles.
• Proficiency in financial data analysis tools and software (e.g., Bloomberg Terminal, FactSet, Refinitiv Eikon).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present complex financial information effectively.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• Experience with Python, R, or other statistical programming languages is a plus.
• CFA charterholder or candidate progressing towards CFA is highly desirable.
• High ethical standards and attention to detail.

About Skillmind Software Limited

Skillmind Software Limited is a leading technology solutions provider specializing in SaaS, ERP, and AI-driven digital transformation across Africa. We develop and implement products such as CloudHR, CloudWage, TimeTrax, HR Genie, WizERP, and WizPOS, serving enterprises across multiple industries including hospitality, manufacturing, logistics, and professional services.

We are committed to innovation, reliability, and excellence — building products that simplify business processes and empower organizations through technology.

Position Overview

We are seeking an experienced and hands-on IT Technical Lead to provide both technical leadership and development oversight across our software projects. The ideal candidate will guide, mentor, and support a cross-functional team of developers while also contributing directly to software design, architecture, and development.

This role requires a strong foundation in full-stack development, modern cloud architectures, and agile delivery practices. The incumbent will collaborate closely with the CTO, Project Managers, and Product Owners to ensure technical excellence and timely delivery of projects.

Key Responsibilities

Technical Leadership & Mentorship

• Lead and mentor software developers (backend, frontend, QA, DevOps).
• Conduct regular code reviews, design reviews, and technical sessions.
• Guide the team on best practices for coding standards, testing, and deployment.

Software Design & Development

• Architect and develop scalable web and enterprise solutions using modern frameworks.
• Write clean, maintainable, and efficient code across multiple projects.
• Participate in sprint planning, backlog grooming, and solution design.

Project Oversight

• Ensure technical feasibility and robustness of project implementations.
• Collaborate with UI/UX, QA, and DevOps teams to streamline development workflows.
• Monitor progress, identify technical risks, and propose mitigation strategies.

Innovation & Research

• Evaluate emerging technologies, frameworks, and tools for potential adoption.
• Drive automation, CI/CD pipeline improvements, and performance optimizations.
• Support AI and integration initiatives (Sage, SAP, Odoo, HR Genie).

Stakeholder Collaboration

• Work closely with management and product teams to translate business needs into technical requirements.
• Provide regular technical updates and documentation for management reporting.

Required Skills and Experience

• Education:
  Bachelor's degree in Computer Science, Software Engineering, or related field.
• Experience:
  Minimum 5+ years in software development with 2+ years in a technical leadership or senior engineering role.

Technical Skills:

• Strong expertise in at least two programming languages (e.g., Python, C#, JavaScript/TypeScript, or PHP).
• Experience with Django, .NET, , or React frameworks.
• Proficiency in SQL/MySQL, RESTful APIs, and microservice architectures.
• Familiarity with cloud platforms (Azure/AWS/GCP) and containerization (Docker/Kubernetes).
• Exposure to AI/ML integrations and ERP/HRIS systems (Sage, SAP, Odoo) is a plus.

Soft Skills:

• Excellent communication and interpersonal skills.
• Strong problem-solving and analytical thinking.
• Ability to work under pressure and manage multiple projects concurrently.
• Passion for mentoring and leading by example.

What We Offer

• Competitive salary (commensurate with experience)
• Performance-based bonuses
• Opportunity to lead impactful digital transformation projects
• Exposure to international markets and clients
• Collaborative and innovative work culture