Latest Vacancies at TeamApt

Job Purpose

• The field recovery agent is responsible for on-site engagements with defaulters with the goal to ensure that they make payments on their loans within the agreed contractual timelines.
• You will be mostly on the field visiting defaulters in their locations and carrying out necessary actions in line with our loan recovery processes.

Job Responsibilities 

• Handle recovery jobs assigned by visiting defaulters in their physical locations
• Convincing defaulting borrowers to make payments in line with the contractual terms in the loan agreement
• Reporting daily on engagements with defaulting borrowers
• Recovery of items and goods as cover for loan default

Qualifications

• Proven work experience in a field debt recovery role
• Knowledge of the most effective field recovery techniques
• Driven and result oriented
• Able to communicate in English and Pidgin.

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Location: Abuja  Application Link

Location: Edo   Application Link

Location: Delta   Application Link

About the Role

• As a credit risk/appraisal officer, you would be saddled with the duty of identifying and eliminating/reducing potential default red flags prior to the disbursement of a loan facility.
• You would also be responsible for making deductions from several information sources pertaining to the 5Cs of credit with capacity, character and collateral as major priorities.
• Making recommendations to management before, during and after the disbursement of a loan facility as to the best actions to be taken, taking several economic factors into consideration. 
• You would be required to carry out detailed due diligence on the customer, the customer’s businesses, the guarantors and co-debtors to ensure that the customer has the capacity, character and collateral to ensure that the likelihood of the loan going bad is as close to 0 as possible.

Responsibilities
What you’ll get to do:

• Embark on physical visitation to potential borrowers’ business places for evaluation of business books, taking inventory and turnover into consideration
• Physical visitation of customer’s residences to verify address information provided
• Physical visitation of other parties to the loan such as the loan guarantors and co-debtors to ensure they are aware of their responsibilities and can easily be located if necessary
• Ensuring collateral adequacies by visiting the collateral locations, and taking quality photographic shots of the collaterals for uploads (this also applies to the proof of ownership to be provided by the borrower)
• Prepare comprehensive reports on daily credit activities
• Perform all other credit-related functions as may be assigned by a supervisor

Qualifications
To succeed in this role, we think you should have:

• A minimum of a B.Sc / HND in any Business related discipline
• A minimum of 1 year of experience in credit risk management with a financial institution
• Good knowledge of financial analysis is an added advantage.

Relevant Skills:

• Apt attention to details
• Proven simple/complex analytical skills
• Excellent communication, presentation and interpersonal skills
• Agility and perseverance.

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Job Summary

• Engineering at TeamApt is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry.
• Our infrastructure runs on some of the cool tools that excite infrastructure engineers.
• We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. 
• If this excites you, it excites us too and we would love to have you.

Job Description
What you’ll get to do:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements
To succeed in this role, we think you should have:

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• We’re looking for someone with a minimum of 3 years of experience manipulating data sets and building statistical models.
• BSc in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: C, C++, Java.

Skills:
Some of the technologies you’ll get to work with:

• Java (latest versions)
• C++, C
• SQL, Python, R.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance,, Employee Stock Options, annual bonus, plus other benefits.