Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.
Junior Quantitative Risk Data Scientists are significant contributors of Optasia's advanced risk management and revenue optimization and members of the Credit Portfolio Optimization team. The Credit Portfolio Optimization team members have experience with credit and profit scoring, the development, deployment and operation of credit risk models, and the day-to-day risk management of large portfolio of loans. They have the capability to (i) develop statistical and machine learning algorithms for credit issuance and risk evaluation, (ii) optimize revenue through risk management, (iii) conduct risk analytics, and (iv) operationalize models and analytics in the daily risk management activities of large portfolios of loans. Quantitative Risk Data Scientists are part of a large team of 25 people.

What you will do

• Design, develop and implement machine learning models to identify.

• Apply advanced statistical techniques to trading.
• Deliver credit-risk insights through big data risk analytics.
• Make decisions to optimize the risk policy for portfolio management and revenue optimization.
• Identify credit risk factors by applying computational methods to large data volumes.

What you will bring

• BSc and MSc in Mathematical, Statistical or Quantitative Science from an accredited institution.
• Strong background on statistical/machine learning models and algorithms development.
• Solid theoretical knowledge on the foundation on machine learning algorithms and hands-on experience at least in one of the following Machine learning fields:

1. Supervised learning
2. Reinforcement learning
3. Unsupervised learning

• Experience in modelling with the usage of Python (or similar programming language).

• Experience in any Relational Database System.

Optional requirements (will be considered a plus):

• Working experience in a related role (e.g. credit risk analyst and/or data scientist)
• Experience with Quantitative Risk Analysis, Credit Risk Management or Portfolio Optimization
• PhD in Mathematical Sciences, Computer Science or Finance from an accredited institution
• Hands-on experience of big data processing and analytics
• Creative skills

Your key attributes

• Strong interpersonal and communication skills.
• Ability to hit tight deadlines and work under pressure and strict attention to detail.
• Excellent judgment and problem-solving skills.

• Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)

Why you should apply
What we offer:
💸 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

Optasia’s Values 🌟

#1 Drive to Thrive: Fully dedicated to evolving. We welcome all challenges and learning opportunities.
#2 Customer-First Mindset: We go above and beyond to meet our partners’ and clients’ expectations.
#3 Bridge the Gap: Knowledge is shared, information is exchanged and every opinion counts.
#4 Go-Getter Spirit: We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed.
#5 Together we will do it: We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals.