Senior Credit Risk Data Scientist, Fintech
Optasia, Greece
Job Description
Optasiais a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement amp; collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model amp; strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.
We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment. Senior Credit Risk Data Scientists are significant contributors of Optasia's advanced risk management and revenue optimization and members of the Credit Portfolio Optimization team.Credit Portfolio Optimization team members have extensive experience with credit and profit scoring, the development and deployment of advanced algorithms, and the day-to-day risk management of large portfolio of loans. The team members have the capability (i) to perform advanced risk analytics, (ii) design and develop statistical and machine learning algorithms for credit issuance and risk management, and (iii) operationalize them in the daily risk management activities of large portfolios with the aim to optimize profits. Senior Credit Risk Data Scientists are part of a large team of 25 people, working closely with Big Data Engineers and Analysts.
What you will do
- Manage large portfolios of micro-loans with the use of advanced algorithms and analytics to optimize profits
- Develop and deploy advanced credit risk models and algorithms
- Design, develop and implement scorecards for nano- and micro-finance
- Analyze large data volumes to identify credit risk factors
- Develop strategies for credit risk management and revenue maximization
- Transfer knowledge on credit risk model development and management
What you will bring
- BSc and MSc in Mathematical Sciences, Computer Science or Finance from an accredited institution.
- Minimum of 7 years’ experience in a related role (e.g. credit risk analyst/manager and/or data scientist).
- Strong analytical skills, evidence of statistical/machine learning models and algorithms development.
- Hands-on experience at least in two of the following (with descending significance):Credit risk model development and deployment, Credit risk management, Risk analytics, Profits Optimization, Machine learning
- Ability to set-up, organize and monitor pilots for testing and comparing risk models
- Experience in and ability to gain risk insights analyzing large volumes of data.
- Passion for learning new technologies and eagerness to collaborate with other creative minds
- Strong desire for exploring, evaluating and understanding new technologies
- Ability to hit tight deadlines and work under pressure and strict attention to detail
- Excellent judgment, organizational and problem-solving skills
- Strong interpersonal and communication skills
Optional requirements (will be considered a plus):
- PhD in Mathematical Sciences, Computer Science or Finance from an accredited institution.
- Hands-on experience on big data processing and analytics.
- Creative skills
- Programming skills
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
Why you should apply
What we offer:
Flexible remote working
Competitive remuneration package
Extra day off on your birthday
Performance-based bonus scheme
Comprehensive private healthcare insurance
All the tech gear you need to work smart
Optasia’s Perks:
Be a part of a multicultural working environment
Meet a very unique and promising business and industry
Gain insights for tomorrow market’s foreground
A solid career path within our working family is ready for you
Continuous training and access to online training platforms
CSR activities and festive events within any possible occasion
Enjoy comfortable open space restaurant with varied meal options every day
Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises