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Data Assurance Engineer, 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.
As member of the Data Assurance team in Optasia, you will work closely with the Data Architect to perform automated sanity checks in large scale volumes of pre-processed and post-processed data and test various algorithms used in the Credit Risk Assessment procedure for nano and micro-finance.
Working closely with other creative minds, the Data Assurance Engineer will be able to demonstrate his/her expertise on data assurance, statistical models and machine learning as well as his/her high level of analytical and creative skills. He/she will have the opportunity to further develop knowledge and expertise on data assurance, AI, machine learning, predictive and risk analytics.

What you will do

  • Automation of data assurance and data validation processes.
  • Perform sanity checks in large scale volumes of pre-processed and post-processed data.
  • Research analyze and document data elements that are missing and/or reported as inaccurate by our clients. Determine course of action for resolution using independent thought and judgment
  • Perform data pre-processing.
  • Automate testing procedures of Risk Models and various algorithms used in Credit Risk Assessment.
  • Document and track production problems, processes, procedures, and changes within the data amendment

What you will bring

  • BSc/MSc in Computer Science or Computer Engineering from an accredited institution.
  • Hands-on experience at least in two of the following (with descending significance): Data assurance, Automation of QA processes, Software testing, Credit risk models, Risk Analytics
  • Strong analytical and problem-solving skills with a strong attention to detail. Ability to judge the relevance of existing models and algorithms to specific business needs.
  • Passion for learning, exploring, and testing machine learning models and AI algorithms.
  • Ability to succinctly report status and results.
  • Familiar with Linux.
  • Experience with tools such Microsoft Excel.
  • Communicates effectively in English in written and verbal form
  • Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
  • Ability to hit tight deadlines and work under pressure and strict attention to detail.

Optional

Will be considered a plus

  • Hands-on experience of big data processing and analytics.
  • Hands-on experience of data bases (SQL and NoSQL).
  • Creative skills.
  • Programming skills.
  • Hands-on experience of Java, MATLAB, Python or R.
  • Hands-on experience of Tableau or any other Data Visualization Tool.
  • Hands-on Experience of Automation Tools e.g. Jenkins.
  • 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

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

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What You Should Know About Data Assurance Engineer, Fintech, Optasia

Are you ready to dive into the world of data within the fast-paced Fintech environment? Join Optasia as a Data Assurance Engineer and become a part of our dynamic team dedicated to financial inclusion. Here, your role will be integral as you collaborate closely with our Data Architect to perform automated sanity checks on vast volumes of data involved in Credit Risk Assessment procedures. You’ll analyze and document data inconsistencies while utilizing your analytical skills to transform them into accurate, actionable solutions. This position is perfect for an energetic professional who thrives in innovation and wants to further enhance their expertise in data assurance, AI, and machine learning. As you work with like-minded individuals, you will have the opportunity to automate testing procedures on risk models and algorithms while continuously learning and contributing to our mission of responsible financing decision-making. If you bring a proactive mindset and a passion for problem-solving, we would love for you to contribute your creativity and insight in this exciting role. Optasia not only offers competitive benefits like flexible remote working and comprehensive health insurance, but we also believe in fostering a culture of continuous growth, teamwork, and celebration. So if you’ve got the analytical edge and a creative spark to help bridge the gap in financial technologies, apply now and help us shape the future of finance!

Frequently Asked Questions (FAQs) for Data Assurance Engineer, Fintech Role at Optasia
What does a Data Assurance Engineer do at Optasia?

At Optasia, a Data Assurance Engineer plays a crucial role in ensuring the accuracy and integrity of data used in credit risk assessment. This involves performing automated sanity checks on pre-processed and post-processed data, documenting any discrepancies, and collaborating with other team members to develop effective solutions.

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What qualifications are needed for a Data Assurance Engineer at Optasia?

To excel as a Data Assurance Engineer at Optasia, you need a BSc or MSc in Computer Science or Computer Engineering, along with hands-on experience in data assurance, QA automation, and familiarity with credit risk models and analytics. Strong analytical skills and attention to detail are essential.

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What kind of technology does a Data Assurance Engineer use at Optasia?

A Data Assurance Engineer at Optasia utilizes technologies such as machine learning algorithms, various programming languages like Python or Java, and tools for big data processing. Familiarity with databases (SQL/NoSQL) and automation tools (e.g., Jenkins) is also beneficial.

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Is remote work available for the Data Assurance Engineer position at Optasia?

Yes, Optasia offers flexible remote working options, allowing Data Assurance Engineers to effectively manage their work-life balance while contributing to our innovative projects from anywhere.

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What types of projects would a Data Assurance Engineer work on at Optasia?

In the role of a Data Assurance Engineer at Optasia, you will work on projects involving the automation of data assurance processes, conducting sanity checks, and testing algorithms utilized in credit risk assessment for nano and micro-finance.

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What are the growth opportunities for a Data Assurance Engineer at Optasia?

Optasia provides continuous training and access to online resources, facilitating career progression for Data Assurance Engineers. You will also have the chance to deepen your knowledge in AI and machine learning, setting yourself up for future advancements in your career.

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What is the work culture like for a Data Assurance Engineer at Optasia?

At Optasia, the work culture is collaborative and inclusive, emphasizing continuous learning and a customer-first mindset. Your contributions will be supported by a team that values innovative solutions and diverse perspectives.

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Common Interview Questions for Data Assurance Engineer, Fintech
Can you explain your experience with data assurance processes?

When answering this question, explain specific projects where you've implemented data assurance processes, focusing on automation techniques and the impact of your efforts on data quality and accuracy.

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How do you approach problem-solving in data discrepancies?

Describe your methodology for identifying, analyzing, and resolving data discrepancies. Highlight your analytical skills and your ability to use various tools and programming languages to find solutions.

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What statistical models have you applied in your previous roles?

Share examples of statistical models you've worked with, particularly in relation to credit risk assessment. Discuss how you implemented these models to resolve real-world problems or improve processes.

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How do you ensure the accuracy of data in a large dataset?

Discuss methods for validating and verifying large datasets, such as automated testing, sanity checks, and your approach to documenting findings to maintain high data quality.

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What experience do you have with automation tools?

Highlight your familiarity with specific automation tools like Jenkins, describing how you've utilized them to enhance QA processes or automate data assurance tasks in past projects.

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How do you keep up with trends in AI and machine learning?

Indicate your commitment to ongoing learning by discussing relevant courses, podcasts, blogs, or communities. Mention how you integrate this knowledge into your work, particularly related to credit risk models.

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Can you provide an example of how you improved a data assurance process?

Share a specific example that illustrates your analytical skills and creativity in redesigning or enhancing a process, focusing on the challenges faced and the positive outcomes achieved.

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What programming languages are you comfortable using for data assurance tasks?

List programming languages that you have hands-on experience with, such as Python, Java, or R, and explain how you have used them in your data assurance projects.

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How would you handle tight deadlines while ensuring data quality?

Discuss your strategies for effective time management without compromising data accuracy. This might include prioritizing tasks and using automation to streamline processes.

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How do you document and track production issues?

Explain your approach to documentation, including what types of information you track, how you assess production problems, and the tools you use for maintaining clear records.

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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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