2 jobs in ARXERN

Financial Analyst

Nairobi, Nairobi KES104000 - KES130878 Y ARXERN

Posted today

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Job Description

Company Description

Arxern is a tech-driven wealth management platform that offers investors with AI-powered market tools to manage their investment portfolios. With our innovative technology, we enable smarter, data-driven decisions for investors seeking to optimize their investment . Arxern focuses on providing comprehensive market analysis and actionable insights to enhance investment outcomes.

Role Description

This is a full-time remote role for a Financial Analyst.The Financial Analyst works alongside roles like the ML/AI Engineer, UI/UX Designer, and Data Engineer to ensure the platform delivers accurate, compliant, and user-centric wealth management solutions.

Qualifications for a Financial Analyst

Educational Background
:

Bachelor's degree in Finance, Economics, Business Administration, or a related field. A Master's degree (e.g., MBA, MSc in Finance) is preferred for deeper analytical expertise.

Professional certifications such as CFA (Chartered Financial Analyst), CPA (Certified Public Accountant), or CFP (Certified Financial Planner) are highly desirable for credibility and knowledge of investment strategies.

Experience
:

3-5 years of experience in financial analysis, wealth management, or investment advisory, preferably in the Kenyan or East African market. Experience working with
chamas
, cooperatives, or group investment schemes to understand their unique financial behaviors and needs (e.g., managing collective investments). Familiarity with AI-driven financial tools or fintech platforms (e.g., Wealthbox, Redtail, or robo-advisors) to bridge traditional finance with AI integration.

Technical Skills
:

Proficiency in financial modeling and data analysis tools (e.g., Excel, Python, R) to validate AI model inputs and analyze market trends. Knowledge of CRM systems (e.g., Wealthbox, Salesforce) to support integration of AI tools like Zocks or Jump for client data management.

Market Knowledge
:

Deep understanding of Kenyan financial markets, including the Nairobi Securities Exchange, government bonds, and real estate investment trends relevant to affluent clients and chamas. Familiarity with regulatory frameworks in Kenya, such as Capital Markets Authority (CMA) guidelines, to ensure AI outputs comply with local standards.

Soft Skills
:

Analytical Thinking: Ability to interpret complex financial data and translate it into actionable insights for the AI platform.

Communication:

Strong verbal and written skills to present findings to the team and align AI features with user needs (e.g., explaining chama dashboards to non-technical stakeholders).

Collaboration:

Comfort working in a cross-functional team with roles like UI/UX designers and data engineers to deliver a user-centric.

Desirable Extras:

Experience with compliance automation tools (e.g., Focal, FinMate) to support Arxern's regulatory adherence. Knowledge of behavioral finance to tailor AI recommendations to the risk profiles and cultural preferences of Kenyan users (e.g., risk-averse chamas vs. growth-seeking elites). Exposure to mobile-first platforms, as Arxern may prioritize mobile access for Kenya's tech-savvy middle class.

Compensation and Profit Sharing

1
. No Base Salary: As described in the job posting, the Employee will not receive a base

salary.

2. Profit Sharing Compensation: Instead of a traditional salary, the Employee's compensation

will be entirely based on profit sharing. The details—including eligibility, profit allocation,

and payment schedules—are outlined in the Profit Sharing Document, which is incorporated

by reference into this agreement.

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Data Analyst

Nairobi, Nairobi KES1000000 - KES3000000 Y ARXERN

Posted today

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Job Description

Job description Data analyst

Location
: Nairobi/Kenya

Experience Level
: Open to all passionate individuals with the right skills and aslo skilled in web scraping.

Compensation: Profit-sharing model (No salary initially, compensation after the first profit cycle)

About Arxern

Arxern is a startup leveraging cutting-edge technology, to address challenges in Kenya's financial sector. Build a tech-first investment platform for Kenyan investors to track, analyze, and automate portfolios . we are on a mission to transform Kenya's fintech landscape and foster economic growth. Join our dynamic team and unlock new opportunities for growth and success. Be part of something impactful and take your skills to the next level

What We Offer

An opportunity to be part of a purpose-driven startup at the forefront of innovation. A collaborative and dynamic work environment where your contributions directly impact our growth.

Profit-sharing compensation model

Your efforts will be rewarded when we succeed together. A chance to make a meaningful difference in Kenya's financial sector. How to Apply If you're excited about leveraging data to drive innovation and want to be part of Arxern's journey to transform Kenya's investment market, we'd love to hear from you Send your application and CV to Join us in creating solutions that will shape Kenya's future Industry Tech Employment Type Full-time Industry Technology, Information and Internet

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for performing data analytics and data modeling, conducting statistical analyses, and applying analytical skills to interpret data. The Data Analyst will also be tasked with effectively communicating findings and insights to both technical and non-technical stakeholders. Daily tasks include data collection, data cleaning, data visualization, and generating reports.

Qualifications

  • Strong Analytical Skills and proficiency in Data Analytics
  • Knowledge and experience in Statistics
  • Proficiency in Data Modeling
  • Excellent Communication skills to convey complex information
  • Proficiency in using data analytics tools and programming languages such as Python, R, or SQL is preferred
  • Experience with AI and machine learning techniques is a plus
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Ability to work independently and collaboratively in a remote setting
  • Attention to detail and problem-solving skills
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