2,094 Remote Corporate Paralegal jobs in Kenya
Remote Corporate Paralegal
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a detail-oriented and experienced Remote Corporate Paralegal to provide essential legal support to our legal team and business units. This role is critical for ensuring compliance, managing documentation, and facilitating legal processes within the organization, all performed remotely. You will be responsible for assisting attorneys with corporate governance matters, preparing and reviewing legal documents, conducting legal research, and maintaining corporate records. The ideal candidate possesses a strong understanding of corporate law principles, excellent research skills, and proficiency with legal databases and document management systems. You will play a key role in the formation, organization, and ongoing compliance of corporate entities, including subsidiaries and joint ventures. Responsibilities include managing board meetings, preparing minutes, filing required documents with regulatory agencies, and assisting with due diligence processes. Excellent organizational skills are paramount, as you will be managing a high volume of complex legal documentation and deadlines. Strong written and verbal communication skills are essential for interacting with attorneys, internal clients, and external counsel. This position demands a high degree of professionalism, accuracy, and the ability to work independently and manage time effectively in a remote environment. Contributing to the efficiency and effectiveness of the legal department through diligent support is paramount. This is an excellent opportunity for a skilled paralegal to apply their expertise in a remote capacity, supporting significant corporate legal functions.
Key Responsibilities:
Key Responsibilities:
- Assist attorneys with corporate governance matters, including drafting resolutions and minutes.
- Prepare, review, and organize a variety of legal documents, agreements, and filings.
- Conduct legal research using online databases and other resources.
- Maintain corporate records and manage the corporate minute book.
- Assist with the formation and dissolution of legal entities.
- Support due diligence investigations for mergers, acquisitions, and other transactions.
- Coordinate and schedule corporate board and committee meetings.
- File documents with federal, state, and local government agencies.
- Liaise with external counsel, regulatory bodies, and other third parties.
- Ensure compliance with corporate record-keeping requirements.
- Manage and track legal deadlines and project timelines.
- Provide administrative support to the legal department as needed.
- Paralegal certificate or Associate's/Bachelor's degree in a related field.
- Minimum of 3-5 years of experience as a corporate paralegal.
- Strong knowledge of corporate law and governance principles.
- Proficiency with legal research databases (e.g., Westlaw, LexisNexis) and document management systems.
- Excellent organizational, analytical, and problem-solving skills.
- Meticulous attention to detail and accuracy.
- Strong written and verbal communication skills.
- Ability to manage multiple projects and meet strict deadlines.
- Proficiency in Microsoft Office Suite.
- Ability to work independently and effectively in a remote setting.
- Discretion and ability to handle confidential information.
This advertiser has chosen not to accept applicants from your region.
0
Senior Legal Analyst, Litigation Support (Remote)
Posted today
Job Viewed
Job Description
Our client, a prestigious law firm with a global presence, is seeking a highly analytical and detail-oriented Senior Legal Analyst to join their Litigation Support department. This role is exclusively remote, allowing you to contribute to complex legal cases from anywhere. The ideal candidate will possess a strong understanding of legal procedures, e-discovery principles, and case management. You will be responsible for assisting legal teams in all phases of litigation, from document review and evidence management to trial preparation. This includes organizing, analyzing, and summarizing large volumes of legal documents, identifying key evidence, and managing electronic discovery platforms. Your expertise in legal research databases and litigation support software will be crucial. You will work closely with attorneys, paralegals, and clients to ensure accurate and timely support for ongoing cases. The ability to manage multiple tasks efficiently, maintain strict confidentiality, and communicate findings clearly is essential. As this is a remote position, exceptional organizational skills, self-discipline, and proficiency in virtual communication and collaboration tools are paramount. We are looking for a proactive individual with a keen eye for detail and a commitment to supporting legal excellence. This is an excellent opportunity for a seasoned legal professional to advance their career in a challenging and dynamic remote environment, contributing to significant legal matters.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct comprehensive legal research and document analysis for litigation cases.
- Assist in managing and organizing electronic discovery (e-discovery) processes.
- Review and summarize large volumes of legal documents, identifying relevant information.
- Prepare case summaries, timelines, and investigative reports.
- Support attorneys in trial preparation, including organizing exhibits and witness materials.
- Utilize legal research databases and litigation support software effectively.
- Liaise with legal teams, clients, and external vendors.
- Ensure accuracy, confidentiality, and integrity of all case-related information.
- Assist in developing and implementing litigation support strategies.
- Stay updated on legal technologies and best practices in litigation support.
Qualifications:
- Bachelor's degree in Law, Paralegal Studies, or a related field; Juris Doctor (JD) or Master's degree is a plus.
- Minimum of 6 years of experience in legal research, document review, or litigation support.
- Proven experience with legal research databases (e.g., Westlaw, LexisNexis) and e-discovery platforms.
- Strong analytical, critical thinking, and organizational skills.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and meet tight deadlines in a fast-paced environment.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- High degree of accuracy and attention to detail.
- Proficiency in Microsoft Office Suite and legal case management software.
- Understanding of civil litigation procedures.
This advertiser has chosen not to accept applicants from your region.
1
Principal Insurance Analyst
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a Principal Insurance Analyst with extensive experience in data analysis, risk modeling, and strategic insight generation. This is a completely remote position, allowing you to contribute to pivotal projects from anywhere. The Principal Insurance Analyst will be responsible for leading advanced analytical initiatives to support underwriting, product development, and strategic decision-making across the insurance portfolio. You will delve into complex datasets to identify trends, assess risks, and forecast future outcomes, providing actionable recommendations to senior management. Key responsibilities include developing and implementing sophisticated actuarial models, performing in-depth market analysis, and evaluating the financial performance of insurance products. You will also be tasked with staying abreast of regulatory changes, industry best practices, and emerging risks. The role involves collaborating with underwriters, actuaries, and product managers to translate analytical findings into tangible business strategies. As a remote analyst, you will utilize cutting-edge analytical software and data visualization tools, working closely with global teams to enhance our client's insurance offerings and operational strategies, with a focus that includes supporting the market in **Thika, Kiambu, KE**. A Master's degree in Statistics, Mathematics, Actuarial Science, Economics, or a related quantitative field is required, along with a minimum of 7 years of progressive experience in insurance analytics or actuarial science. Fellowship or Associate status in a recognized actuarial society (e.g., SOA, CAS) is highly preferred. Proficiency in programming languages such as R, Python, or SAS, and experience with data manipulation and database management are essential. Exceptional analytical, problem-solving, and communication skills are crucial for this role. You must be adept at interpreting complex data and presenting findings clearly and concisely to diverse audiences in a remote environment.
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist - Insurance Analytics
Posted 11 days ago
Job Viewed
Job Description
Our client, a rapidly growing insurance provider, is looking for an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives. This role is entirely remote, offering you the chance to leverage your expertise in data science and machine learning to drive strategic decisions within the insurance sector from anywhere in Kenya. You will be responsible for developing sophisticated predictive models, uncovering key insights from vast datasets, and translating complex findings into actionable business strategies. The ideal candidate possesses a strong blend of technical proficiency, statistical rigor, and business acumen, with a proven ability to lead projects and mentor junior team members. This position will be crucial in enhancing risk assessment, fraud detection, customer segmentation, and optimizing pricing models.
Responsibilities:
Qualifications:
Join us in transforming the insurance landscape from Embu, Embu, KE and beyond. If you are a data-driven leader ready to make a significant impact, apply today.
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms for insurance applications (e.g., risk modeling, claims prediction, fraud detection).
- Lead the end-to-end data science project lifecycle, from problem definition and data collection to model deployment and performance monitoring.
- Extract, clean, and preprocess large, complex datasets from various sources within the insurance domain.
- Identify opportunities to leverage data analytics to improve business processes, product offerings, and customer experience.
- Collaborate closely with actuaries, underwriters, marketing, and IT teams to integrate data-driven insights into business operations.
- Mentor and guide a team of data scientists, fostering a culture of innovation and continuous learning.
- Communicate complex analytical findings and recommendations clearly and effectively to stakeholders at all levels, including senior management.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and explore their applicability to the insurance industry.
- Develop and maintain data pipelines and reporting dashboards for key performance indicators.
- Ensure the ethical and compliant use of data in all analytical endeavors.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a significant focus on the insurance industry.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of statistical modeling, machine learning techniques (regression, classification, clustering, time series analysis), and experimental design.
- Experience with SQL and working with large databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving abilities and a strong analytical mindset.
- Demonstrated leadership skills and experience managing projects or teams.
- Exceptional communication and presentation skills.
- Knowledge of insurance products, regulations, and actuarial principles is highly desirable.
Join us in transforming the insurance landscape from Embu, Embu, KE and beyond. If you are a data-driven leader ready to make a significant impact, apply today.
This advertiser has chosen not to accept applicants from your region.
3
Lead Insurance Data Scientist
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a talented and experienced Lead Insurance Data Scientist to drive innovation and deliver data-driven insights within their insurance operations. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical business decisions. You will lead a team of data scientists and analysts in developing advanced analytical models for pricing, underwriting, claims, fraud detection, and customer analytics. The ideal candidate will have a strong background in statistical modeling, machine learning, and programming, combined with a deep understanding of the insurance industry. This role requires excellent leadership, communication, and problem-solving skills.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of machine learning models and statistical analyses to address key business challenges in insurance.
- Mentor and manage a team of data scientists and analysts, fostering a collaborative and high-performing environment.
- Collaborate with business stakeholders to identify opportunities for data-driven solutions.
- Design and execute complex data mining and predictive modeling projects.
- Develop and deploy models for pricing accuracy, risk assessment, fraud detection, and customer segmentation.
- Ensure the quality, integrity, and interpretability of analytical models.
- Stay current with the latest advancements in data science, machine learning, and AI relevant to the insurance sector.
- Communicate complex analytical findings and recommendations to both technical and non-technical audiences.
- Oversee the data infrastructure and tools necessary for advanced analytics.
- Contribute to the strategic direction of data science initiatives within the organization.
- Promote data literacy and best practices across the company.
- Evaluate and implement new technologies and methodologies to enhance data science capabilities.
Qualifications:
- Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with at least 3 years in a leadership or management role.
- Proven experience in applying machine learning and statistical techniques to insurance data.
- Expertise in programming languages such as Python or R, and SQL.
- Proficiency with big data technologies and platforms (e.g., Spark, Hadoop).
- Strong understanding of insurance products, processes, and regulatory landscape.
- Excellent leadership, communication, and interpersonal skills.
- Demonstrated ability to translate business problems into analytical solutions.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong portfolio of data science projects and proven impact on business outcomes.
This advertiser has chosen not to accept applicants from your region.
4
Principal Data Scientist - Insurance Analytics
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a distinguished Principal Data Scientist with extensive experience in insurance analytics to lead their fully remote data science initiatives. This pivotal role requires a deep understanding of actuarial principles, risk modeling, and predictive analytics within the insurance sector. You will be responsible for driving the development and implementation of advanced machine learning models that enhance pricing, underwriting, claims management, and fraud detection. Operating remotely, you will collaborate with actuarial, underwriting, and claims departments to translate complex business challenges into data-driven solutions. Your responsibilities will include:
- Leading the design, development, and deployment of sophisticated predictive models and machine learning algorithms for insurance applications (e.g., risk segmentation, customer lifetime value, claims severity, propensity modeling).
- Collaborating with actuaries and underwriters to integrate data science insights into pricing strategies and underwriting guidelines.
- Developing and implementing advanced fraud detection systems using machine learning and anomaly detection techniques.
- Mentoring and guiding a team of data scientists and analysts in a remote environment.
- Communicating complex analytical findings and their business implications to senior leadership and non-technical stakeholders.
- Exploring and leveraging new data sources and technologies to enhance analytical capabilities.
- Ensuring the ethical and responsible use of data and models.
- Evaluating and implementing best practices in data science, MLOps, and model validation within the insurance context.
- Contributing to the strategic direction of data analytics and AI within the organization.
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Scientist - Insurance Analytics
Posted 20 days ago
Job Viewed
Job Description
Our client is revolutionizing the insurance industry through data-driven insights and is seeking a highly skilled Senior Data Scientist to join their remote-first team. This role is pivotal in leveraging advanced analytical techniques to drive strategic decisions, enhance customer experiences, and optimize business operations within the insurance sector. You will be responsible for the entire data science workflow, from problem definition and data extraction to model development, validation, and deployment. This includes building predictive models for risk assessment, fraud detection, customer churn, and pricing optimization. The ideal candidate will have a strong command of statistical modeling, machine learning algorithms, and programming languages such as Python or R. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) is highly valued. You will work closely with business stakeholders to understand their challenges and translate them into data science solutions. Effective communication of complex analytical findings to both technical and non-technical audiences is essential. This position offers an exciting opportunity to work on challenging problems, contribute to groundbreaking innovations, and mentor junior data scientists within a collaborative remote environment. We are looking for a proactive individual with a passion for uncovering insights from data and a commitment to delivering measurable business impact. The ability to design and implement robust, scalable machine learning pipelines is crucial for success in this role.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement advanced statistical and machine learning models for insurance applications (e.g., risk, fraud, pricing).
- Design and execute data mining strategies to extract valuable insights from large datasets.
- Collaborate with business units to define analytical problems and develop solutions.
- Build and deploy predictive models, ensuring their accuracy and performance.
- Perform rigorous model validation and A/B testing.
- Communicate complex analytical findings and recommendations to stakeholders.
- Mentor junior data scientists and share best practices.
- Stay abreast of the latest advancements in data science and AI.
- Contribute to the development of data infrastructure and tooling.
- Ensure data privacy and security compliance.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on the insurance industry.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and working with large, complex datasets.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Deep understanding of various machine learning algorithms and statistical modeling techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with data visualization tools.
- Proven ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Remote corporate paralegal Jobs in Kenya !
6
Senior Insurance Data Scientist - Remote
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Insurance Data Scientist to join our fully remote data science division. This role is critical for leveraging advanced statistical modeling, machine learning, and predictive analytics to drive strategic decisions within the insurance industry. You will work with large, complex datasets to uncover insights, develop innovative products, optimize pricing strategies, improve claims processing, and detect fraudulent activities. The ideal candidate possesses a deep understanding of insurance principles, coupled with strong technical expertise in data mining, machine learning algorithms, and programming languages like Python or R. You will collaborate closely with actuaries, underwriters, claims adjusters, and business stakeholders to translate complex data findings into actionable business strategies. Key responsibilities include developing predictive models for customer behavior, risk assessment, and fraud detection; performing data analysis to identify trends and opportunities; and communicating findings through compelling visualizations and reports. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly advantageous. This is a fully remote position, offering the flexibility to work from anywhere while contributing to significant advancements in insurance analytics. You will be at the forefront of applying data science to solve challenging problems in a dynamic and evolving industry.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms for insurance applications.
- Analyze large datasets to identify trends, patterns, and actionable insights related to customer behavior, risk, and operations.
- Build predictive models for pricing, underwriting, fraud detection, and claims management.
- Collaborate with actuarial, underwriting, and claims departments to provide data-driven solutions.
- Design and conduct A/B tests to evaluate model performance and business impact.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Contribute to the development of data infrastructure and best practices.
- Stay updated on the latest advancements in data science, machine learning, and insurance analytics.
- Mentor junior data scientists and analysts.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on the insurance industry.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, statsmodels).
- Strong experience with SQL and database technologies.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
- Deep understanding of machine learning techniques and statistical modeling.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
7
Senior Remote Insurance Data Scientist
Posted 10 days ago
Job Viewed
Job Description
Our client, a progressive insurance provider, is seeking a highly analytical and experienced Senior Remote Insurance Data Scientist to join our fully remote analytics division. In this pivotal role, you will leverage vast datasets to uncover critical insights, develop predictive models, and drive strategic decision-making across the organization. Your responsibilities will include designing and implementing sophisticated data mining techniques, building machine learning models for risk assessment, fraud detection, and customer segmentation, and interpreting complex statistical analyses. You will work closely with actuaries, underwriters, and product managers to translate business challenges into data-driven solutions. This position requires a profound understanding of statistical modeling, programming languages such as Python or R, and big data technologies. You will be expected to communicate your findings clearly and effectively to both technical and non-technical stakeholders through compelling visualizations and presentations. The ideal candidate will have a strong background in the insurance industry, with a proven ability to apply data science principles to solve real-world insurance problems. Exceptional problem-solving skills, a meticulous attention to detail, and the ability to work autonomously in a remote setting are essential. You will play a key role in enhancing our underwriting accuracy, optimizing claims processing, and improving customer retention. This opportunity offers the chance to work on challenging problems with significant business impact, all within a flexible, remote work environment. While our headquarters are located in Thika, Kiambu, KE , this role is entirely remote. If you are a seasoned data scientist with a passion for transforming the insurance landscape through advanced analytics, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
8
Assistant Accountant
Posted today
Job Viewed
Job Description
Company Description
Auxilium Business Consultants Ltd (ABC) is a consulting firm staffed with highly qualified and experienced professionals dedicated to supporting businesses, startups, SMEs, individuals, and nongovernmental organizations. We provide outsourced services including bookkeeping, accounting, tax consultancy, payroll management, and financial advisory. Our services extend to funding business plan proposals, financial literacy training, and business strategy planning. Our mission is to help our clients build sustainable businesses that ensure profit maximization and promote social and environmental well-being.
Role Description
This is a full-time on-site role for an Assistant Accountant at Auxilium Business Consultants Ltd, located in Nairobi County, Kenya. The Assistant Accountant will be responsible for recording financial transactions, reconciliations, assisting with the preparation of financial statements, handling payables and receivables, and supporting in tax preparations. Day-to-day tasks will also include maintaining the general ledger, conducting audits, and ensuring compliance with accounting principles and regulations.
The ideal candidate will bring 1–2 years of accounting experience preferable with QuickBooks experience. The role requires understanding in tax compliance (all taxes), accounts payable & receivable, inventory management, and cost accounting.
Key Responsibilities:
- Manage accounts payable, receivable, reconciliations, and cash flow.
- Assist in tax compliance: VAT, PAYE, WHT, Corporation Tax, NSSF, SHA, Excise duty and Standard levy.
- Support inventory control, cost analysis, and reconciliations.
- Strengthen internal controls and support audits.
- Prepare financial reports and ensure compliance with IFRS and Kenyan tax laws.
- Record and reconcile daily financial transactions
- Assist in preparing financial statements and management reports.
- Assist in preparing financial statements and management reports.
- Record and reconcile daily financial transactions.
- Maintain accurate ledgers, journals, and supporting schedules.
- Support preparation of tax returns, statutory filings, and compliance matters.
- Assist in payroll processing and staff expense reconciliations.
- Support internal and external audit processes.
- Maintain filing systems for financial documents (digital & physical).
- Provide support in budgeting and forecasting.
- Handle supplier invoicing, payments, and account reconciliations.
- Perform other duties as assigned to support the finance department.
Qualifications:
At least CPA part II.
Strong knowledge of Kenyan tax laws, and accounting software (QuickBooks, Sage, ERP).
To apply,
send your CV and cover letter to
(Budget- Gross of 25k-30k)
This advertiser has chosen not to accept applicants from your region.
9