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Risk Quant, Fintech

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 Quantsare 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 though credit risk analysis.
  • Deliver credit-risk insights through big data risk analytics.
  • Development and implementation of portfolio risk assessment tools and procedures to monitor and manage credit risk.
  • Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
  • Identify and evaluate credit risk factors using advanced computational methods on large datasets.
  • Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
  • Collaborate closely with data scientists and data & machine learning engineers.
  • Continuously refine and improve risk assessment methodologies to align with evolving market conditions.

What you will bring

  • Bachelor’s or master’s degree in data science, Statistics, Finance, Mathematics, or a related field.
  • Proven experience (3-5 years) in quantitative risk analysis, preferably within the financial services sector.
  • Expertise in developing and implementing algorithmic models for revenue and risk optimization.
  • Strong proficiency in statistical modeling, with experience in machine learning models.
  • Proficiency in programming languages such as Python or R, with extensive experience in big data risk analytics.
  • Demonstrated ability to develop and implement portfolio risk assessment tools.
  • Strong problem-solving skills and attention to detail in analyzing complex data sets.

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.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

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What You Should Know About Risk Quant, Fintech, Optasia

At Optasia, we’re on the lookout for an enthusiastic Risk Quant to join our innovative team in our fully-integrated financial technology platform. Our focus lies in combining algorithmic trading with superior portfolio optimization to foster responsible financing decisions. In this role, you will be working closely with seasoned traders as well as data and machine learning engineers, where your skills in risk management, research, and technology will shine brightly. As a Risk Quant, you'll have the chance to design and implement cutting-edge algorithmic solutions tailored for revenue optimization, diving deep into credit risk analysis. Your analytical mindset will help you conduct thorough examinations of microloans and other financial products, enabling you to improve decision-making through optimized risk models. With a requirement for at least 3-5 years of experience in quantitative risk analysis, preferably in financial services, you'll leverage your proficiency in Python or R to develop predictive models. Furthermore, you will continuously refine methodologies to stay ahead in a rapidly evolving market. If you have a problem-solving mindset, excellent communication skills, and a passion for delivering results, this is the perfect opportunity for you to flourish in a multicultural working environment that embraces growth and innovation. Embrace the chance to thrive, contribute to a customer-first philosophy, and become part of the Optasia values that emphasize collaboration and a go-getter spirit!

Frequently Asked Questions (FAQs) for Risk Quant, Fintech Role at Optasia
What responsibilities does a Risk Quant at Optasia have?

As a Risk Quant at Optasia, you will be responsible for designing and implementing algorithmic solutions aimed at optimizing revenues through credit risk analysis, delivering credit-risk insights via big data analytics, and developing portfolio risk assessment tools to monitor and manage credit risk across diverse financial products.

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What experience is required for the Risk Quant position at Optasia?

Optasia seeks candidates with a bachelor’s or master’s degree in data science, statistics, finance, mathematics, or related fields, alongside 3-5 years of proven experience in quantitative risk analysis, preferably within the financial services sector.

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What kind of skills do I need to succeed as a Risk Quant at Optasia?

To excel as a Risk Quant at Optasia, you need strong proficiency in statistical modeling, experience in machine learning, and expertise in programming languages like Python or R, coupled with demonstrable problem-solving skills and attention to detail when analyzing complex data sets.

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How does working culture at Optasia enhance the role of a Risk Quant?

At Optasia, the working culture promotes a drive to thrive and a customer-first mindset. As a Risk Quant, you will thrive in a multicultural environment where knowledge is shared and collaboration is key, allowing you to deliver innovative solutions effectively.

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Can a Risk Quant work remotely at Optasia?

Yes, Optasia offers flexible remote working options, particularly for the Risk Quant position, enabling you to optimize your work-life balance while still contributing to an exciting and innovative team atmosphere.

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What tools will I use as a Risk Quant at Optasia?

As a Risk Quant, you will utilize advanced computational tools and software for big data analytics, allowing you to develop robust predictive models and implement portfolio risk assessment methodologies that align with the evolving market conditions.

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What perks and benefits does Optasia offer to Risk Quants?

Optasia provides a competitive remuneration package, comprehensive private healthcare insurance, extra time off on your birthday, a performance-based bonus scheme, and access to continuous training and development platforms, making it an appealing place to build your career.

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Common Interview Questions for Risk Quant, Fintech
Can you explain a recent project where you optimized a risk model?

When discussing a recent project, focus on the specific objectives, the methodologies you used, and the outcomes achieved. Highlight your role, any challenges faced, and how you collaborated with others to enhance the model's performance.

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How do you approach designing algorithmic solutions for financial problems?

Describe your systematic approach, beginning with problem identification, followed by data analysis, selection of appropriate algorithms, and validation of solutions. It's also beneficial to discuss any tools or programming languages you prefer.

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What statistical techniques are you most comfortable using?

Be clear about which statistical models you are familiar with, including regression analysis, time-series analysis, and machine learning methods, along with examples of how you've applied these techniques in your previous roles.

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How do you stay updated on developments in quantitative risk analysis?

Discuss the resources you leverage, such as academic journals, online courses, professional organizations, or conferences, and how you integrate new findings into your work practices.

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Describe a time when you had to analyze a large dataset. What were your key findings?

Share a specific example, detailing the size of the dataset, the analysis process, and the tools used. Emphasize how your findings contributed to the team's objectives or decision-making processes.

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How would you handle discrepancies in data while conducting risk analysis?

Explain your protocol for addressing discrepancies, which should include data validation techniques, communication with data providers, and methods for ensuring data integrity moving forward.

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Can you explain the importance of portfolio risk assessment tools?

Discuss how these tools are vital for managing risk exposure, optimizing investment strategies, and ensuring long-term profitability while helping to comply with regulatory requirements.

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What is your experience with regulatory aspects of risk management?

Talk about your understanding of key regulations like Basel III, as well as your experience ensuring that risk models and practices meet or exceed compliance standards in previous positions.

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How do you prioritize tasks when managing multiple projects?

Share insights into your prioritization strategies, such as using project management tools, setting clear deadlines, and communicating progress with team members to ensure alignment.

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What motivates you in the field of quantitative risk analysis?

Express your passion for data-driven decision-making and how the evolving landscape of finance excites you. You can also cite personal goals that drive you to excel in your role.

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Optasia develops airtime credit and mobile value-added services for mobile operators and financial institutions. It also offers financial solutions that utilize proprietary analytics tools, including micro cash loans, handset loans, credit service...

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Full-time, remote
DATE POSTED
November 28, 2024

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