Iuvo was launched in July 2016 as a P2P platform, which allows its users to invest their funds in already granted loans by credit companies (originators). The investors generate a motivating profit and the companies get additional financing to expand their business.
In 2020, iuvo won the award for Company of the Year in sector “Finance” of the Forbes Business Awards Bulgaria. In the Spring of 2020, the company was honored as one of the Top 50 Most Preferred Employers in the prestigious Career Show Index 2020. In 2019, iuvo became first runner-up in the category “People’s Choice” in the prestigious International AltFi Awards. Even before iuvo turned two years old, Forbes Bulgaria honored the platform as one of the best startup businesses.
Our team is always striving to be innovative, which is why we are the initiators for a universal regulation of all P2P platforms in order to increase the safety of the investments. We believe that this will lay the ground for a future development of the sector, as it will help in recognizing the trustworthy partners by the investors around the world.
We are looking for an enthusiastic and proactive Risk Analyst to join our team in Sofia.
Scope:
- Monitoring loans originators performance and identifying unusual patterns and trends;
- Supporting performing of risk analysis and due diligence process- initial and ongoing;
- Supporting onboarding of new loan originators on the platform;
- Ensure complete and appropriate documentation is maintained;
- Responsible for ongoing operational activities: transactions, returns, trend analysis, upload new loans, delays, reports;
- Collect, compile, and present research and analysis findings;
- Monitor and review origination processing to ensure originator compliance with company’s policies and procedures.
Requirements:
- Requires a minimum of 1.5+ year of experience in banking, auditing, finance, risk management or related field;
- University degree in finance, economics, business or accounting;
- Knowledge of risk analysis, examination, financial analysis and auditing;
- Knowledge of risk measures;
- Knowledge of national and European financial regulations;
- Advanced knowledge level of Microsoft Excel;
- Ability to read and interpret financial statements, trading policies, contracts, agreements, industry publications and reports.
Our offer:
- Opportunity to work in one of the Top 50 Best Employers according to Career Show Index 2020;
- Ground floor opportunity to change the European lending canvas;
- Work with sharp, extremely ambitious and motivated colleagues in a results-driven local multinational environment;
- Ongoing training and development programs;
- Competitive remuneration;
- Option for Multisport card at a discounted price;
- Additional health insurance;
- Food vouchers;
- Friendly and casual work environment;
- Centrally located office;
- Smartphone and sponsored mobile plan.
We are searching for candidates who enjoy working with people in a fast-paced, growing environment. We encourage you to take a couple minutes to submit your resume to be considered as the newest member to our professional team.
We appreciate and thank you for your application.
Only short-listed candidates will be contacted.
Only short-listed candidates will be contacted.
Our team is growing and now we have a new opening for the position of Team Leader Credit Risk Management.
The Team Leader Credit Risk Management will have hands on:
- Grow and lead a small team of data analysts;
- Scorecard development for the credit risk sector as well as for a variety of different business opportunities where modeling could be beneficial;
- Large volumes of data pre-processing;
- Application of linear & non-linear regression techniques to variety of business tasks;
- Three based clustering and/or classification algorithms usage;
- Fraud detection techniques and rare-events algorithms usage;
- Statistical analysis and credit rules optimization;
- Reporting – ad hoc and regular.
Requirements:
- University degree or equivalent standard with a high numeric content: statistics, mathematics, econometrics, finance, etc.;
- 2+ years of experience in the analytics field – scorecard development, segmentation, statistics and advanced analytics, etc.;
- Experience with statistical software – R, SAS, Python, SPSS;
- Independent person that is willing both to learn and to share knowledge with his/her colleagues;
- Experience with people management;
- Knowledge of Microsoft Office: Excel, Word, PowerPoint;
- Experience with project management is a plus.
Benefits:
- Opportunity to work, develop and grow in a dynamic environment, targeted at international expansion;
- Induction, ongoing training and development programme;
- Friendly and casual work environment;
- A team of people with extensive experience in the field and international acknowledgements;
- Competitive remuneration;
- Option for Multisport card at a discount price;
- Additional health insurance;
- Food vouchers;
- Smart mobile phone and sponsored mobile plan.
We are searching for candidates who enjoy working with people in a fast-paced, growing environment. If you have the drive to succeed and advance your career, our structure might be a fit for you.
We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team.
We appreciate and thank you for your application.Only short-listed candidates will be contacted.
Our team is growing and now we have a new opening for the position of Credit Risk Modeler.
The Credit Risk Modeler will have hands on:
- Scorecard development for the credit risk sector as well as for a variety of different business opportunities where modeling could be beneficial;
- Large volumes of data pre-processing;
- Application of linear & non-linear regression techniques to variety of business tasks;
- Three based clustering and/or classification algorithms usage;
- Reporting – ad hoc and regular.
Requirements:
- University degree or equivalent standard with a high numeric content: statistics, mathematics, econometrics, finance, etc.;
- 2+ years of experience in the analytics field – scorecard development, segmentation, statistics and advanced analytics, etc.;
- Experience with statistical software – R, SAS, Python, SPSS;
- Independent person that is willing both to learn and to share knowledge with his/her colleagues;
- Experience with project management is a plus.
Benefits:
- Opportunity to work, develop and grow in a dynamic environment, targeted at international expansion;
- Induction, ongoing training and development programme;
- Friendly and casual work environment;
- A team of people with extensive experience in the field and international acknowledgements;
- Competitive remuneration;
- Option for Multisport card at a discount price;
- Additional health insurance;
- Food vouchers;
- Smart mobile phone and sponsored mobile plan.
We are searching for candidates who enjoy working with people in a fast-paced, growing environment. If you have the drive to succeed and advance your career, our structure might be a fit for you.
We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team.
We appreciate and thank you for your application. Only short-listed candidates will be contacted.
We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team.
We appreciate and thank you for your application. Only short-listed candidates will be contacted.
In order to keep up with the growing holding portfolio and business diversity we have an opening for a Data Science Team Leader to lead one of our Data Science Teams.
The Data Science Team Leader will have hands on:
- Managing his team projects and workflow
- Developing and following the best practices for productive data science work
- Communicating and presenting results and expected benefits of the projects to C-level stakeholders across different businesses
- Making decisions and having direct impact on the operations and financial results of the businesses
- Develop, test and deploy reinforcement learning, supervised and unsupervised machine learning and artificial intelligence models
- Possibility to work in diverse modelling domains – credit risk, churn prediction, segmentation, sales optimization, collection optimization
- Developing state-of-the-art predictive models with no restrictions to the possible modelling techniques used and participate actively in their deployment to production environment
- Possibility to practice the skills needed during the full machine learning project lifecycle – problem definition, data gathering, data wrangling, model development, validation, deployment and monitoring
- Developing and using fully automated systems for model and business monitoring
Requirements:
- University degree or equivalent standard with a high numeric content: data science, artificial intelligence, statistics, mathematics, econometrics, business administration/ economics, finance, etc.;
- 5+ years of experience in the data science field;
- Experience with people and project management;
- Advanced in at least one programming language used for machine learning – R or Python
- Advanced user of relational databases – Microsoft SQL or equivalent
- Experience with data visualization tools – Power BI or equivalent
- Ability to work comfortably and combine data coming from a variety of data sources – relational and non-relational databases, csv and excel files, xml and json files
- Willingness to both learn and share knowledge with their colleagues
Benefits:
- Opportunity to work, develop and grow in a dynamic environment, targeted at international expansion;
- Induction, ongoing training and development programme;
- Friendly and casual work environment;
- A team of people with extensive experience in the field and international acknowledgements;
- Competitive remuneration;
- Option for Multisport card at a discount price;
- Additional health insurance;
- Food vouchers;
- Smart mobile phone and sponsored mobile plan.
We are searching for candidates who have the skills to call themselves full-stack data scientists and are willing to guide forward a productive data science team. If you enjoy making decisions, want your work to be recognized and important, and are willing to compliment hands-on work with team management to achieve valuable business results this role in our company might be the best fit for you.
We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team.
We appreciate and thank you for your application. Only short-listed candidates will be contacted.
In order to keep up with the growing holding portfolio and business diversity we have an opening for a Senior Data Scientist to join our Credit Risk and Revenue Optimization team.
What you would be able to do:
- Develop, test and deploy reinforcement learning, supervised and unsupervised machine learning and artificial intelligence models
- Possibility to work in diverse modelling domains – credit risk, churn prediction, segmentation, sales optimization, collection optimization
- Develop state-of-the-art predictive models with no restrictions to the possible modelling techniques used and participate actively in their deployment to production environment
- Possibility to practice and further develop the skills needed during the full machine learning project lifecycle – problem definition, data gathering, data wrangling, model development, validation, deployment and monitoring
- Develop and use fully automated systems for model and business monitoring
- Develop and use instruments to enhance productive work – project management through Kanban, software package development for repetitive tasks, automated model documentation and result presentation frameworks
- Communicate and present results to C-level stakeholders across different businesses
- Possibility to make decisions and have direct impact on the operations and financial results of the businesses
- Possibility to mentor junior and mid-level team members to develop people management skills
- Possibility for promotion to Data Science Team Leader
Requirements:
- University degree or equivalent standard with a high numeric content: data science, artificial intelligence, statistics, mathematics, econometrics, business administration/ economics, finance, etc.;
- 4+ years of experience in the analytics field – machine learning models development
- Advanced in at least one programming language used for machine learning – R or Python
- Advanced user of relational databases – Microsoft SQL or equivalent
- Experience with data visualization tools – Power BI or equivalent
- Ability to work comfortably and combine data coming from a variety of data sources – relational and non-relational databases, csv and excel files, xml and json files
- Willingness to both learn and share knowledge with their colleagues
- Experience with project management is a plus
Benefits:
- Opportunity to work, develop and grow in a dynamic environment, targeted at international expansion;
- Induction, ongoing training and development programme;
- Friendly and casual work environment;
- A team of people with extensive experience in the field and international acknowledgements;
- Competitive remuneration;
- Option for Multisport card at a discount price;
- Additional health insurance;
- Food vouchers;
- Smart mobile phone and sponsored mobile plan.
We are searching for candidates who have the capabilities and are willing to develop into full-stack data scientists to help and support our diverse business operations with machine learning and artificial intelligence. If you enjoy making decisions, want your work to be recognized and important, and have the skills to bring business value through data science this role might be the best fit for you.
We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team.
We appreciate and thank you for your application. Only short-listed candidates will be contacted.