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We are looking for talented, creative people to help us in our mission of achieving financial inclusion for all. We’re looking for people like you! Check out our job postings and apply to join the team of over 250 like-minded individuals building the tech, products and services which will change the game for the world’s unbanked population.

If your dream job is not among these, then send us your CV and we can find together how to make most of your skillset and talents!

Data

Risk Quant, Fintech - Athens

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.
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.

Data

Senior Risk Quant, Fintech - Athens

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. Senior 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.
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
Minimum of 5 years’ experience in a related role (e.g. credit risk analyst/manager and/or data scientist).
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)

Optasia’s Values 🌟

General CV Submission - Athens

Data

Junior Quantitative Risk Data Scientist, Fintech - Athens

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:

Supervised learning
Reinforcement learning
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)

Optasia’s Values 🌟

Data

Data Assurance Engineer, Fintech - Athens

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)

Optasia’s Values 🌟

Data

Senior Big Data Engineer, Team Leader, Fintech - Athens

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.
Data is at the core of Optasia's growth plan and the Data Engineering team is a significant contributor to data-driven automated decision making. We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and we are in the process of optimizing and modernizing our processes and infrastructure as the company scales.
As a Team Leader of a small Data Engineering team (approx. 2 members) you will be responsible for building, supervising, managing and motivating team members on a daily basis. Apart from that you need to be able to design and implement highly scalable end-to-end batch and streaming data pipelines and contribute to company’s success.

What you will do

Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
Set clear team goals, delegate tasks and set deadlines, oversee day-to-day operation
Discover training needs and provide coaching, listen to team members’ feedback and resolve any issues or conflicts
Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc
Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
Work closely with experienced Data Engineers, Solution Architects, ML engineers and System Administrators for the design, delivery and support of the company’s end-to-end data processing workflows
Develop, maintain and optimize our core libraries for batch processing and ingestion of large volumes of data to the big data infrastructure
Build and maintain CI/CD orchestration
Design and develop end-to-end data processing pipelines

What you will bring

Bachelor's or Master's degree in Computer Science or Informatics
5+ years of experience in Data engineering
Proven work experience as a team leader or supervisor
Working experience in software/data engineering and/or operations/DevOps/DataOps
Working experience with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark)
Working experience with relational and NoSQL technologies
Systems administration skills in Linux
Experience with the deployment, configuration and maintenance of distributed systems and data/software engineering tools

Optional requirements (will be considered a plus):

Familiarity with infrastructure as code, e.g. Ansible
Good understanding of Hadoop ecosystems
Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi
Passion for learning new technologies and eagerness to collaborate with other creative minds.
Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)

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 🌟

Technology

DevOps Engineer, Fintech - Athens

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 Software Engineering team in Optasia, you will be participating in our never-ending journey to improve our way of working, by automating mundane tasks, enriching our CI/CD infrastructure, enhancing our production monitoring capabilities and optimizing our software delivering processes. You are expected to apply best practices and principles that will make development cycles shorter and assist teams in continuously delivering high-quality software.

What you will do

Design, implement and maintain CI/CD processes & pipelines.
Responsible for maintaining, managing and optimizing existing automated Jenkins jobs and scripts.
Provide application build and deployment lifecycle support.
Automate repetitive tasks in order to make the processes faster and more efficient.
Write specifications and documentation.

What you will bring

At least 3 years of relevant experience.
BSc/MSc degree in Computer Science, Engineering or a related field.
Solid knowledge of Jenkins & Groovy.
Good knowledge of Linux.
Good Knowledge of Docker.
Knowledge of Kubernetes will be considered a plus.
Experience with Ansible and/or other IaC tools will be considered a plus.

Your key attributes

Excellent communication skills and team working mentality
Passion for learning new technologies and eagerness to collaborate with other creative minds
Sharp and highly motivated personality
Strong desire for exploring, evaluating, and understanding new technologies
Excellent judgment, organizational 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:
👟 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 🌟

Finance

Financial Accountant, Fintech - Athens

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 a member of the Finance team you will support the accounting processes of the Group.

What you will do

Participate in the group accounting processes by coordinating with local accountants to ensure that the accounting records are properly maintained and timely updated.
Overview taxes and other statutory submissions in cooperation with outsourced tax consultants.
Monitoring procurement process and costs.
Manage the cash flow of the local company and ensure timely collections and timely vendors’ payments.
Support in the controlling process of group subsidiaries.
Assist in the preparation of monthly management and financial reporting.
Participate in budgeting processes.
Support the audit process through the preparation of reports and deliverables.
Assist in special (ad hoc) projects as assigned and provide actionable insights.

What you will bring

Bachelor’s degree in finance & accounting. Master’s degree/ACCA will be considered an asset.
3-5 years of relevant experience preferable in a multinational company.
Strong computer literacy (Microsoft Office, ERP - Experience with SAP is a plus).
Excellent written and verbal communication skills in English.
Assume ownership of tasks and deliver timely to meet deadlines.

Optasia’s Values 🌟

Technology

Information Security Analyst, Fintech - Athens

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. The Information Security Analyst primary objective is to work as a member of the Information Security Team and assist Optasia to enforce and monitor all required Security Controls that protect our Data from all newest threats.

What you will do

Assist in Technical Projects, by proposing and deploying appropriate security controls and solutions
Audit Systems and Infrastructures, to ensure that security controls are correctly applied
Analyze Security Alerts and respond to Security Incidents
Support the Vulnerability Management Program, by analyzing VA and PenTest results, to define mitigation actions
Participate in Customer initiated Audits
Build and monitor Awareness training campaigns
Manage the deployed Security Platforms

What will you bring

University Degree in Computer Science or related field
Minimum 2 years of Information Security industry experience
Understanding of the ISO/IEC 27001 Requirements and their practical implementation
Knowledge of Information Security tools and methods (i.e. Port Scanners, VA Scanners, SIEM Tools, PAM, DLP)
Experience with MS Security Platforms (i.e. MS Defender, MS Intunes)
Knowledge of Network Security Concepts (i.e. Network Segregation, DMZ, Private VLANs, IPSec)
Knowledge of the Internet Threat landscape (phishing, ransomware, APT, etc.)
Experience in working with both of MS Windows and Linux Environments
Excellent written and verbal communication skills (English)

Will be considered as plus

Experience with Code Review Tools (i.e. SonarQube, Dependency Check)
Experience in auditing MS Windows Architectures (i.e. AD Group Policy, Users /Roles).
Experience with Python and MS Powershell for automation

Why you should apply

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 🌟

Data

Quantitative Risk Manager, Fintech - Athens

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 a member of the Finance team you will support the accounting processes of the Group.
The Quantitative Risk Manager joins a department of 50 members that is responsible for Credit Risk optimization. The primary role of this role is to research, build, implement and operate a framework for the quantification of model and market risk. The manager must be results-oriented, self-motivated and have the ability to thrive in dynamic and fast-pace environments. The role requires frequent interaction with Credit Traders and Quantitative Risk Data Scientists.

What you will do

Measurement, monitoring and control of credit risk.
Creation of a framework for the validation of risk models and strategies
Review and validate existing and new risk models to establish their accuracy and suitability.
Review and validate credit risk policies
Conceptualize and define credit risk management reports
Provide expert support and guidance to all risk stakeholders on risk taking.
Validate and support risk optimization systems.
Provide detailed analysis and documentation of methods, techniques, and findings.
Engage in innovative research tasks for risk quantification and model validation.

What you will bring

Masters or PhD in a numerate subject
Minimum 5 years of direct experience on quantifying risk developing and enhancing financial and credit models
Minimum 5 years of experience using Python, R or Matlab
Minimum 5 years of experience using and retrieving data from structured datasets (SQL)
Advanced understanding of market and credit risk quantification methods
Advanced understanding of model validation techniques for both credit and market risk models
Experienced in managing and developing a team of quantitative risk analysts and validation specialists
Excellent analytical skills, evidence of statistical/machine learning models and algorithms development.
Excellent ability to work under pressure, formulate and articulate solutions and defend assumptions
Excellent ability to solve real world business problems using quantitative and computational techniques
Excellent interpersonal, analytical, verbal and written communication skills
Excellent ability to communicate technical ideas to colleagues outside the domain
Excellent analytical and organizational skills with acute attention to details
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 🌟

Data

Senior Quantitative Risk Data Scientist - Team Leader, Fintech - Athens

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 portfolios 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 30 people.

What you will do

Lead a team of Data Scientists and Risk Quants.
Design and implement algorithmic solutions for revenues optimization.
Research and built novel credit trading strategies with high profitability estimates.
Implement machine learning models and 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.

What you will bring

BSc and MSc in a quantitative field such as Mathematics, Physics, Statistics, Econometrics, Engineering or Finance from an accredited institution.
Minimum of 5 years’ experience in a related role (e.g. algorithmic trader, credit manager or data scientist).
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

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).

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 🌟