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Risk Quant, Fintech

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

BSc and MSc in quantitative field, Experience in machine learning and risk analysis, Knowledge of optimization algorithms, Proficiency in Python or OOP languages, Strong analytical and mathematical skills.

Key responsabilities:

  • Design and implement algorithmic solutions
  • Research and build novel credit trading strategies
  • Apply machine learning to trading
  • Deliver credit-risk insights via big data
  • Develop portfolio risk assessment tools
Optasia logo
Optasia Financial Services SME https://optasia.com/
201 - 500 Employees
See more Optasia offers

Job description

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.

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. Risk Quants are significant contributors of Optasia’s advanced algorithmic trading and portfolio optimization unit. As member of the Credit Portfolio Optimization team in Optasia, you will have an opportunity to combine the disciplines of risk management, research, and technology to operate trading strategies across multiple projects. You are expected to leverage your experience and knowledge in making critical decisions in real-time processes, while working closely with experienced traders, big-data, and machine-learning engineers to ensure optimal system performance.

What you will do

  • Design and implement algorithmic solutions for revenues optimization.
  • Research and built novel credit trading strategies with high profitability estimates.
  • Apply state of the art machine learning algorithms to trading.
  • Deliver credit-risk insights through big data risk analytics.
  • Development and implementation of portfolio risk assessment tools and procedures.

What you will bring

  • BSc and MSc in a quantitative field such as Mathematics, Physics, Statistics, Econometrics, Engineering or Finance from an accredited institution
  • Hands-on experience in machine learning and/or statistical modelling and in risk analysis
  • Deep knowledge of machine learning and optimization algorithms
  • Experience with Python and/or object-oriented programming languages
  • Strong analytical and mathematical skills

Optional requirements (will be considered a plus):

  • Hands-on experience of big data processing and analytics

Your key attributes

  • Excellent judgment and problem-solving skills
  • Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
  • Communication skills
  • Creative 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

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Creativity
  • Resourcefulness
  • Analytical Skills
  • Verbal Communication Skills
  • Self-Motivation

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