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Data Assurance Engineer, Fintech

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

Offer summary

Qualifications:

BSc/MSc in Computer Science or Engineering, Experience in data assurance or software testing, Familiarity with Linux and Microsoft Excel, Ability to judge relevance of models and algorithms, Hands-on experience in big data processing is a plus.

Key responsabilities:

  • Automate data assurance and validation processes
  • Perform sanity checks on data volumes
  • Research and analyze missing or inaccurate data elements
  • Automate testing procedures for Risk Models
  • Document production problems and processes
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.
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.

Required profile

Experience

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

Other Skills

  • Self-Motivation
  • Detail Oriented
  • Verbal Communication Skills
  • Problem Solving
  • Creativity
  • Microsoft Excel
  • Calmness Under Pressure
  • Analytical Skills
  • Resourcefulness

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