ARM Pension Managers (PFA) Limited is one of the first seven Pension Fund Administrators (PFA) granted license by the National Pension Commission in December 2005. It is part of the Asset & Resource Management Company Limited (ARM) Group, one of Nigeria’s most prominent and respected financial service brands. We have pre-eminent reputation in Investment Management, Research and Pension Fund Management.

We are recruiting to fill the position below:

Job Title: Relationship Manager

Location: Nigeria
Job type: Full-time

Summary

• The Relationship Manager will be responsible for the management of existing clients to ensure retention, development of new businesses and acquisition drive within a defined geography, for consistent and profitable growth.
• He / she must demonstrate the ability to attract new business to achieve designated revenue target levels.
• He / she must be able to develop profitable business with new and existing customers.

Responsibilities

• Opening and closing of new businesses.
• Registration of new clients and/ or staff of organizations
• Processing of RSA form for timely generation of pins.
• Ensuring client satisfaction by listening to the needs of the client, proffering solutions immediately were available and building a good relationship for referrals.
• Sales of Additional Voluntary Contribution to clients alongside their RSA.
• Give client updates on the pension industry through one of our channel(s) such as the customer interactive session.
• Ensure that accounts opened are funded

Requirements

• Bachelor’s Degree from an Accredited University
• Minimum of 2 years of professional working experience in the financial service industry​

Application Closing Date
30th April, 2023.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Analyst

Location: Nigeria
Employment Type: Full Time
Department: Data & Insights Office

Summary

• The incumbent will be responsible for turning complex data sets into actionable insights to support data-driven decision-making across the organization.

Responsibilities

• Collect, clean, and validate data from various sources, ensuring the accuracy, consistency, and reliability of data sets.
• Perform in-depth data analysis using advanced statistical tools and techniques to identify trends, patterns, and correlations in complex data sets.
• Develop and maintain data models, reports, and dashboards, using data visualization tools such as Tableau or Power BI, to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams to define key performance indicators (KPIs), understand their data needs, and develop data-driven solutions to support decision-making.
• Design and implement data collection systems, strategies, and procedures to improve data quality and efficiency.
• Monitor and maintain data quality and integrity by identifying and addressing inconsistencies and errors in data sets.
• Continuously improve data analysis processes and methodologies to ensure efficiency, effectiveness, and alignment with industry best practices.
• Stay current with industry trends, advancements in data analytics tools and technologies, and emerging data analysis techniques.
• Mentor and provide guidance to entry-level data analysts, assisting them in developing their skills and knowledge.
• Lead and manage data-related projects, ensuring timely delivery and alignment with stakeholder expectations.

Requirements

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
•  3-5 years of experience in data analysis or a related field, with a proven track record of delivering data-driven insights.
• Advanced proficiency in programming languages (e.g., Python, R, SQL) and experience with data analysis tools and libraries (e.g., Excel, Tableau, Power BI).
• Strong knowledge of statistical concepts, data analysis techniques, and machine learning algorithms.
• Excellent analytical and problem-solving skills, with the ability to draw conclusions from complex data sets and provide actionable recommendations.
• Exceptional attention to detail and commitment to data accuracy.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong organizational and project management skills, with the ability to manage multiple tasks and priorities simultaneously.Experience working with database management systems (e.g., SQL Server, MySQL, PostgreSQL) and ETL processes.
• A proactive and curious mindset, with a passion for using data to drive business decisions.

Application Closing Date
14th April, 2023.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Engineer

Location: Nigeria
Employment Type: Full Time
Department: Data & Insights Office

Summary

• The Data Engineer will be responsible for designing, building, and maintaining scalable and robust data pipelines, ensuring the efficient and reliable flow of data throughout the organization.

Responsibilities

• Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources, ensuring efficient and reliable data flow.
• Develop and implement data integration solutions using ETL (Extract, Transform, Load) tools and techniques.
• Collaborate with data analysts, data scientists, and other stakeholders to understand and translate their data needs into technical requirements.
• Optimize and improve existing data pipelines and architectures to ensure high performance, reliability, and maintainability.
• Implement data validation, cleansing, and error-handling processes to ensure data quality and consistency across the organization.
• Design and implement data storage solutions, such as databases, data warehouses, and data lakes, ensuring scalability, security, and accessibility.
• Monitor and maintain the performance and reliability of data pipelines and systems, troubleshooting and resolving any issues that arise.
• Stay current with industry trends, advancements in big data technologies, and emerging data engineering best practices.
• Develop and maintain thorough documentation of data pipelines, architectures, and processes, ensuring that knowledge is preserved and accessible to the team.
• Collaborate with cross-functional teams, providing support and guidance on data engineering best practices, tools, and technologies.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, or a related field.
• A Master’s Degree is a plus.
• 3-5 years of experience in data engineering, big data, or a related field, with a proven track record of building and maintaining data pipelines and systems.
• Strong proficiency in programming languages (e.g., Python, Java, Scala) and SQL.
• In-depth knowledge of database management systems (e.g., SQL Server, MySQL, PostgreSQL) and data warehousing concepts.
• Familiarity with ETL tools, such as SSIS, Azure Data factory or Apache Airflow.
• Excellent problem-solving skills and the ability to debug and optimize complex data pipelines.
• Strong understanding of data architecture principles and best practices.
• Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• A proactive and curious mindset, with a passion for driving data-driven decisions and staying current with industry trends and technologies.

Application Closing Date
14th April, 2023.

How to Apply
Interested and qualified candidates should:
Click here to apply online