Quantitative Risk Data Scientist | Fintech

Optasia is a B2B2X financial technology platform focused on scoring, financial decision-making, disbursement, and collection. The company’s mission centers on advancing financial inclusion worldwide and reshaping the financial sector through a distinct approach. Role Overview The Quantitative Risk Data Scientist will join the Credit Portfolio Optimization team in Athens. This position sits at the intersection of risk management, research, and technology, contributing to algorithmic trading and portfolio optimization projects. The role involves working alongside traders, big data experts, and machine learning engineers to support real-time decision-making and maintain strong system performance. What You Will Do Design and implement algorithmic solutions to maximize revenue through detailed credit risk analysis. Extract actionable insights on credit risk using advanced big data analytics. Develop tools and procedures for portfolio risk assessment to monitor and manage credit risk effectively. Conduct thorough risk analyses of microloans and other financial products, refining risk models to improve decision quality. Identify and evaluate credit risk factors by applying advanced computational techniques to large datasets. Build predictive models using statistical and machine learning methods to strengthen risk management strategies. Collaborate closely with data scientists and machine learning engineers. Continuously update risk assessment methods in response to changing market conditions. What We Look For Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related discipline. 2-5 years of experience in quantitative risk analysis, preferably within financial services. Demonstrated skill in developing and applying algorithmic models for revenue and risk optimization. Strong background in statistical modeling and experience with machine learning models. Proficiency in Python or R, and hands-on experience with big data risk analytics. Track record of designing and deploying portfolio risk assessment tools. Excellent problem-solving skills and attention to detail when working with complex datasets. Key Attributes Sound judgment and strong analytical thinking. Self-driven, resourceful, and comfortable working independently.

Optasia is a leading B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion for everyone, and we are passionate about transforming the financial landscape.We are on the lookout for dynamic and motivated professionals who are results-oriented and possess a proactive mindset. Join a team of like-minded individuals who are innovating solutions in an exciting work environment. As a Senior Quantitative Risk Data Scientist, you will play a crucial role in Optasia's algorithmic trading and portfolio optimization unit. As part of the Credit Portfolio Optimization team, you will merge your expertise in risk management, research, and technology to implement trading strategies across various projects. You will utilize your insights and knowledge to make real-time critical decisions while collaborating with experienced traders, big data specialists, and machine learning engineers to optimize system performance.Your ResponsibilitiesDevelop and implement algorithmic solutions aimed at optimizing revenues through credit risk analysis.Generate credit-risk insights using advanced big data analytics.Create and execute portfolio risk assessment tools and procedures to effectively monitor and manage credit risk.Conduct in-depth risk analysis on microloans and other financial products, refining risk models to enhance decision-making processes.Identify and assess credit risk factors using sophisticated computational techniques on extensive datasets.Build predictive models, employing both statistical and machine learning methods, to bolster risk management strategies.Work collaboratively with fellow data scientists and machine learning engineers.Continuously enhance and refine risk assessment methodologies to keep pace with evolving market conditions.Mentor junior and mid-level quantitative analysts, fostering an environment of collaboration and knowledge sharing.Stay informed about industry trends, emerging technologies, and evolving methodologies to maintain best-in-class risk management practices.

Optasia is an advanced B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion globally, as we are transforming the financial landscape.We are in search of passionate and dynamic professionals with a results-oriented mindset to join our innovative team. As the Director of Quantitative Risk Management, you will lead a team of 50 dedicated members focused on optimizing Credit Risk. Your primary responsibility will involve researching, developing, implementing, and managing a framework for quantifying model and market risk. The ideal candidate will be self-motivated, thrive in fast-paced environments, and possess strong interpersonal skills for effective collaboration with Credit Traders and Quantitative Risk Data Scientists.Key Responsibilities:Oversee the measurement, monitoring, and control of credit risk.Develop a robust framework for risk model validation and strategy assessment.Review and validate the accuracy and suitability of existing and new risk models.Assess and validate credit risk policies.Design and define comprehensive credit risk management reports.Provide expert guidance to risk stakeholders regarding risk-taking practices.Support and validate risk optimization systems.Conduct detailed analysis and documentation of methodologies, techniques, and findings.Engage in cutting-edge research for risk quantification and model validation.

Optasia is an innovative B2B2X financial technology platform dedicated to transforming financial decision-making, scoring, disbursement, and collection processes. Our mission is to promote financial inclusion for everyone, and we are making a significant impact in the world.We are looking for passionate individuals who are driven by results and possess a proactive mindset. Join our dynamic team of like-minded professionals who are committed to delivering cutting-edge solutions in an exciting and collaborative environment.As a Junior Quantitative Risk Data Scientist, you will play a vital role in enhancing Optasia's advanced risk management strategies and optimizing revenue as a key member of our Credit Portfolio Optimization team. This team specializes in credit scoring, model development, and managing large loan portfolios daily. Your responsibilities will include (i) creating statistical and machine learning algorithms for credit evaluation, (ii) optimizing revenues through effective risk management, (iii) conducting detailed risk analytics, and (iv) integrating models into day-to-day operations of extensive loan portfolios. You will collaborate within a robust team of 25 skilled professionals.Your ResponsibilitiesConduct comprehensive risk analyses and optimizations on microloans, comprising 80% of your role.Design predictive models, primarily focusing on statistical approaches with occasional machine learning applications.Provide actionable insights into credit risk utilizing advanced big data analytics.Assess and analyze credit risk factors through computational techniques on extensive datasets.Work closely with cross-functional teams to facilitate data-driven decision-making.Continuously enhance risk models to maximize financial outcomes while minimizing risks.Your QualificationsBachelor’s degree in Data Science, Statistics, Mathematics, or a related discipline.Strong background in statistical modeling; familiarity with machine learning is advantageous.Proficient in programming languages such as Python or R, with substantial experience in big data analytics.Thorough understanding of risk analytics and credit risk determinants.Adept at managing and analyzing large datasets to extract valuable insights.Excellent analytical and problem-solving abilities.Key AttributesExceptional interpersonal and communication skills.Capacity to meet tight deadlines while maintaining meticulous attention to detail.Strong judgment and problem-solving capabilities.Experience adhering to secure coding practices and guidelines (e.g., OWASP, NIST).Why Join Us? Experience the thrill of working in a forward-thinking company that is committed to driving change in the financial landscape.

Optasia is an innovative B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to foster financial inclusion globally, and we are driving change in the financial landscape.We are in search of passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our dynamic team of like-minded individuals committed to delivering cutting-edge solutions in an exciting environment. As a Data Scientist in our AI department within the Data & Risk team, you will play a key role in Data Management and Credit Risk optimization. Your primary responsibilities will include the research and development of advanced AI models and methods, and supporting model-driven initiatives across Optasia’s product offerings. The ideal candidate will excel in fast-paced environments and collaborate closely with Credit Traders, Quantitative Risk Data Scientists, and business stakeholders.Your Key ResponsibilitiesDesign, develop, and implement statistical and machine learning models to enhance risk management, pricing, and data-driven decision-making.Build and maintain robust models that leverage large-scale datasets to inform core product and risk decisions.Conduct thorough analyses of financial products to optimize model performance and business results.Contribute to the creation of frameworks for model monitoring, validation, and performance assessment.Identify and assess critical model drivers and assumptions using extensive datasets.Work collaboratively with data scientists, quantitative risk experts, and data & machine learning infrastructure engineers within the Data & Risk department.Continuously monitor model performance and support ongoing optimization and recalibration efforts.

Join Our TeamOpenBet stands as a premier figure in the global betting and gaming entertainment sector, relied upon by over 200 partners to deliver unforgettable winning experiences to millions of players around the globe. From facilitating bets during monumental events like the FIFA World Cup and Super Bowl to innovating cutting-edge products such as BetBuilder, we are committed to enhancing the player experience through superior content, state-of-the-art technology, and advanced player protection mechanisms.With a rich legacy spanning over 25 years, our robust platform empowers the most esteemed betting brands, guaranteeing optimal performance with 100% uptime, unparalleled scalability, and rapid execution. Boasting 85 licenses and a client roster that includes 20 World Lottery Association operators, along with a dedicated team of over 1,200 professionals across 14 countries, we remain at the forefront of the industry. Join OpenBet and elevate your career while being part of a global team that is redefining the future of betting entertainment for millions.Your RoleThe Quant Development unit within our Data Science team is seeking a Senior Quant Developer responsible for the creation and maintenance of sports betting forecasting models. This role will be situated in Athens.Key Responsibilities:· Develop new player prop markets leveraging price feed and statistical data, including unique exotic betting markets that stand out in our current offerings.· Innovate and enhance sports betting models, improving pricing accuracy, scalability of code, and execution speed and memory efficiency.· Oversee the team's services, including Alerting systems for Traders.· Manage and optimize data pipelines in the cloud for efficiency and scalability.· Introduce new coding design patterns that adhere to best practices in object-oriented programming, and effectively communicate these to the team.· Collaborate with client-facing teams to discern customer needs and business requirements, and present project updates to leadership.· Work closely with product owners and software developers to transition projects from concept to integration.· Mentor junior team members and conduct regular knowledge-sharing sessions on topics such as sports betting models, API design, and cloud solutions.Your Qualifications:· A postgraduate degree in Data Science, Machine Learning, Statistics, Mathematics, or a related quantitative discipline.· A minimum of 5 years of relevant work experience, or a PhD in a quantitative field with at least 2 years of experience.· Proficient programming skills in object-oriented programming languages (C# or Python) and familiarity with databases (SQL and NoSQL).· Experience with various modeling techniques including Probability Distributions, Generalized Linear Models, Monte Carlo Simulations, Bayesian Inference, and Time-Series Analysis.· A proven interest in developing forecasting models specifically for sports.· Strong analytical and problem-solving skills, along with excellent communication abilities.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.Your ResponsibilitiesLead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

Join Our Innovative Team at Kaizen GamingKaizen Gaming, the dynamic force behind Betano, stands as one of the premier GameTech companies globally, serving 19 diverse markets. Our mission is to harness advanced technology to deliver unparalleled entertainment experiences to millions of satisfied customers.Our vibrant workforce consists of over 2,700 talented individuals from more than 40 nationalities spanning three continents.We take pride in being recognized among the Best Workplaces in Europe and are certified as a Great Place to Work in all our offices. At Kaizen Gaming, every day is a new opportunity to excel. Are you ready to Press Play on your career potential?About the RoleAs a Lead Data Scientist, you will spearhead our AI initiatives by analyzing complex datasets and developing machine learning models that drive our innovative AI products. The ideal candidate will possess an in-depth knowledge of machine learning algorithms and a proven track record of deploying ML/AI applications in production environments.Key Responsibilities:Convert product specifications into actionable machine learning tasks and pinpoint high-impact AI opportunities.Conduct comprehensive data analysis to unearth vital patterns and derive actionable insights.Execute exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection, parameter tuning, and validation.Conduct comparative experiments to enhance model training.Analyze machine learning metrics to assess various solution options.Oversee the complete lifecycle of AI features, from data collection through model design to implementation and optimization in live environments.Mentor junior team members, sharing expertise and leading intricate projects.

Optasia is a cutting-edge B2B2X financial technology platform specializing in scoring, financial decision-making, disbursement, and collections. Our mission is to promote financial inclusion for everyone, and we pride ourselves on transforming the world in our own unique way.We are on the lookout for passionate and proactive professionals who are driven by results and possess a can-do attitude. Join a team of like-minded individuals dedicated to delivering innovative solutions in an exciting environment.We invite you to apply for the position of Data Engineer within our expanding Data Engineering team. In this role, you will design and implement highly scalable end-to-end batch and streaming data pipelines, contributing to the overall success of Optasia.Your responsibilities will include:Enhancing the scalability, stability, accuracy, speed, and efficiency of our existing data systems.Designing and developing end-to-end data processing pipelines.Navigating a diverse technology stack, including Scala, Spark, Python3, Bash/Python scripting, Hadoop, and SQL.Designing, constructing, testing, and deploying new libraries, frameworks, or complete systems while adhering to the highest standards of testing and code quality.Developing, maintaining, and optimizing core libraries for batch processing and large volume data ingestion into our big data infrastructure.Building and maintaining CI/CD orchestration.What we expect from you:Bachelor's or Master's degree in Computer Science or Informatics.A minimum of 2 years experience in Data Engineering.Proven experience in software/data engineering and/or operations/DevOps/DataOps.Familiarity with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark).Hands-on experience with both relational and NoSQL databases.Proficient in systems administration with Linux.Experience in deploying, configuring, and maintaining distributed systems and data/software engineering tools.Your key attributes:Experience with fluid virtual infrastructures such as containers (e.g., Docker, Kubernetes).Familiarity with data and ML flow engines and tools, such as Apache Airflow.A strong passion for learning new technologies and collaborating with other creative professionals.Why you should join us:We offer a range of benefits including: Flexible hybrid working options Competitive remuneration package An extra day off on your birthday Performance-based bonus scheme‍ Comprehensive private healthcare insurance All the tech gear you need to work efficientlyExperience the Optasia perks: Join our multicultural working environment Engage with a unique and promising business and industry Gain insights into the future market landscape Enjoy a solid career path within our working family.

Snappibank is hiring a Quantitative Analytics Manager in Athens to focus on risk management within its financial operations. This position centers on using quantitative analysis to identify, assess, and help reduce risks across the organization. Role overview The Quantitative Analytics Manager leads a team dedicated to building and refining analytical models for risk assessment. The role involves interpreting complex data, shaping risk strategies, and ensuring findings are communicated clearly to stakeholders to support business decisions. What you will do Guide a team of analysts in developing and maintaining quantitative models for risk management Analyze financial data to identify trends and potential areas of risk Present actionable insights and recommendations to senior stakeholders Requirements Experience in quantitative analysis within financial services Proven ability to lead teams and manage analytical projects Strong communication skills for presenting complex findings to diverse audiences

Join Kpler as a Data Scientist and be a part of our innovative team that drives data-driven decision making in the energy sector. You will leverage your analytical skills to extract insights from vast data sets, develop predictive models, and contribute to our mission of delivering accurate and actionable information to our clients.

Join Orfium, a pioneering company in the music technology space, as a Data Scientist. In this role, you will leverage data analytics and machine learning to drive innovative solutions that enhance our platform and user experience. Collaborate with cross-functional teams to extract insights, optimize processes, and contribute to data-driven decision-making across the organization.

Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.

Optasia is a pioneering B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection services. Our mission is to promote financial inclusion globally and transform the financial landscape.We are on the lookout for a dynamic and results-oriented Internal Audit Specialist who is energized by a fast-paced and empowering environment. This role is perfect for individuals who excel in teamwork and wish to contribute to an innovative fintech organization. Candidates should possess a solid technology and IT background with 4 to 6 years of experience in internal audit, IT audit, or technology risk management.The successful candidate will join our Risk, Compliance, and Assurance team, reporting directly to the Head of Internal Audit. You will play a critical role in assessing and enhancing the effectiveness of our internal controls, risk management practices, and various business and governance processes. Your focus will be on IT General Controls, technology platforms, integrations, IT systems lifecycle, AI/ML models, cloud infrastructure, data governance, and information security.The ideal candidate will showcase strong analytical and communication skills, capable of translating audit findings into clear, actionable insights that drive business value. Collaboration with cross-functional teams, including engineering, product, operations, compliance, and finance, will be essential to help us scale securely while upholding robust control frameworks and operational discipline.Key Responsibilities:Plan, execute, and deliver risk-based internal audits to assess the design and operational effectiveness of internal controls across operations, systems, and business processes.Draft comprehensive reports and communicate audit findings, providing actionable insights and recommendations to management.Collaborate with technology, product, risk, and compliance teams to understand systems, processes, and emerging risks.Track the implementation of audit recommendations.Assist in developing the annual audit plan.Foster a culture of accountability and strong internal controls.Contribute to enhancing automation and data-driven methodologies within the audit function.

Are you enthusiastic about artificial intelligence? At Satori Analytics, we are on a mission to revolutionize the world, one algorithm at a time, by empowering global brands through Data and AI. Our innovative solutions span the entire data lifecycle, from cloud-based ecosystems for fintech to predictive models for airlines. As a rapidly expanding scale-up with a team of over 100 tech specialists—including Data Engineers, Data Scientists, and more—we provide cutting-edge analytics solutions across various sectors, including FMCG, retail, manufacturing, and financial services. Join us as we spearhead the data revolution in South-Eastern Europe and beyond! Your Daily Responsibilities: Explore diverse data sources, analyze them, and evaluate their influence on business outcomes. Develop and optimize Data Science pipelines, balancing performance, business objectives, and model complexity. Design and maintain machine learning pipelines, encompassing data cleaning, transformation, model evaluation, hyperparameter tuning, and deployment. Investigate emerging technologies, platforms, and industry best practices to identify innovative opportunities. Contribute to the advancement of our Data Analytics platform, particularly in Machine Learning and MLOps capabilities.

Join our dynamic team as a Senior Engineering Manager in the Fintech domain at efood, where you will be pivotal in developing a robust, scalable, and adaptive platform that underpins customer payments and internal financial operations.This is a high-impact leadership position within a critical business sector, overseeing the complete lifecycle of efood's payment and financial transaction processes. Your responsibilities will span from customer order payments through downstream operations, inclusive of refunds, cancellations, fraud checks, vendor payouts, reporting, and regulatory compliance. Your engineering expertise, leadership acumen, and ability to navigate a complex stakeholder landscape will be essential.You will collaborate closely with Product Managers, Finance stakeholders, Engineering leaders, C-level executives, and Delivery Hero teams to enhance operational efficiency, elevate technical standards, and support the growth of the domain as our business expands. Technical EnvironmentOur architecture employs microservices, with over 80 services managing high volumes of requests through both synchronous and event-driven communication.Our technology stack includes Golang, REST APIs, gRPC, Kubernetes, AWS, GCP, PostgreSQL, MongoDB, Redis, and messaging platforms like SNS, SQS, Kafka, and cloud messaging services.As part of the Delivery Hero group, we maintain close collaboration with their Global Services teams. Your Responsibilities:Lead the Fintech engineering domain, managing a hybrid team structure that includes an Engineering Manager and senior engineers, adapting the team layout as priorities evolve.Collaborate with Product Managers to drive the delivery of innovative payment capabilities and domain enhancements, while providing valuable technical insights, tradeoffs, and prioritization guidance.Engage with Finance stakeholders to optimize finance flows, minimize discrepancies, enhance automation, and clarify cross-team issues and dependencies.Provide technical leadership by guiding architectural and design decisions, mentoring engineers and managers, and raising the standard for engineering quality, ownership, and systems thinking.Ensure execution across multiple services and teams, managing dependencies with Delivery Hero services by maintaining clear priorities, surfacing risks early, and tracking progress, challenges, and outcomes.Assist the team in balancing feature delivery, system reliability, and technical enhancements, with hands-on involvement as needed to remove obstacles or support critical choices.Mentor and support the development of engineers and managers to foster their growth.

At Optasia, we are pioneering a comprehensive B2B2X financial technology platform that encompasses scoring, financial decision-making, disbursement, and collection processes. Our mission is to promote financial inclusion on a global scale. Join us as we revolutionize the financial landscape.With over a decade of experience since our founding, we have established ourselves as a frontrunner in the Fintech industry, continuously innovating and expanding our suite of solutions to provide unparalleled monetization opportunities for our partners and clients.As a vital member of the Data Assurance team at Optasia, you will collaborate closely with the Data Architect to conduct automated sanity checks and validate vast amounts of pre-processed and post-processed data. You will also test various algorithms employed in our Credit Risk Assessment processes for nano and micro-financing. Working alongside a team of creative professionals, you will have the chance to showcase your expertise in data assurance, statistical models, and machine learning, while enhancing your analytical and innovative capabilities. This role offers a unique opportunity to deepen your knowledge in data assurance, artificial intelligence, machine learning, and predictive risk analytics.Your Responsibilities:Automate data assurance and validation processes.Conduct sanity checks on extensive datasets, both pre-processed and post-processed.Research, analyze, and document data discrepancies reported by clients, determining appropriate resolution strategies using independent judgment.Implement data pre-processing techniques.Automate testing procedures for Risk Models and algorithms utilized in Credit Risk Assessment.Document and monitor production issues, processes, procedures, and changes related to data amendments.

Optasia is a cutting-edge B2B2X financial technology platform that encompasses scoring, financial decision-making, disbursement, and collection services. Our adaptable AI platform fosters financial inclusion, facilitates responsible financing decisions, and enhances customer experiences across 39 countries, supported by 7 regional offices.We are on the lookout for dynamic and driven professionals who possess a proactive attitude and a results-oriented mindset. Join our innovative team to deliver exceptional solutions in an exciting and collaborative environment.Your Responsibilities:Conduct market research and identify distribution partners across Africa.Uncover underserved market segments.Identify new asset classes.Examine regulatory and market shifts.Analyze competitors to identify product gaps.Define and prioritize product features.Manage product backlog effectively.Oversee the prioritization of customer requests (CR).Support the initial rollout and integration of new products.Create comprehensive use cases and business requirements.Perform feasibility studies and draft business plans.Lead product design, development, and release processes.Coordinate the collection and prioritization of product functionality requests.Monitor developments in the fintech credit space.Evaluate new credit product propositions.Assess distribution partners and tailor products to meet their needs.Prepare detailed business requirements and product specifications.Define go-to-market (GTM) strategies.Draft user manuals and sales support documentation.Collaborate with legal teams on contract templates.Engage with various stakeholders to piece together product elements.Train commercial and operations teams on new products and distribution partners.Monitor and optimize new products and partnerships during the first year of operations.

Optasia is a cutting-edge B2B2X financial technology platform specializing in scoring, financial decision-making, disbursement, and collection. Our mission is to promote financial inclusion for everyone. We are transforming the financial landscape in our unique way.We are on the lookout for passionate professionals who are energetic, results-oriented, and possess a can-do attitude. Join our dynamic team of innovators dedicated to delivering top-notch solutions in an exhilarating environment.As a vital member of the Systems Engineering team at Optasia, you will oversee the efficient provisioning, installation/configuration, operation, and maintenance of our systems hardware and software, along with associated infrastructure. Your contributions will include participating in technical research and development to foster ongoing innovation within our infrastructure. You will ensure compliance with organizational values by upholding high standards in system hardware, operating systems, software systems, and related procedures, thereby empowering staff, volunteers, and partners.

Optasia is an innovative B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to foster financial inclusion for everyone. Join us in transforming the financial landscape!We are on the lookout for passionate and driven professionals who thrive in a collaborative environment. As a member of our dynamic team, you will contribute to delivering innovative solutions that make a difference.Data plays a pivotal role in Optasia's growth strategy, with our ML Engineering team being a key contributor. We harness data from various sources into our extensive big data clusters and develop and manage multiple analytical pipelines using state-of-the-art big data technologies.As a Senior ML Infrastructure Engineer, you will play a crucial role in enhancing Optasia's data-driven decision-making and credit risk management by developing and optimizing scalable, end-to-end ML pipelines. Your key responsibilities will include: (i) building robust ML pipelines, (ii) designing statistical and machine learning algorithms, and (iii) operationalizing these solutions to bolster credit risk management, directly impacting Optasia's success.Your Responsibilities:Provide technical guidance in ML engineering to ensure the adoption of optimal tools and methodologies, staying ahead of emerging trends and delivering industry-leading solutions.Enhance the scalability, stability, accuracy, speed, and efficiency of ML workflows while maintaining stringent testing and code quality standards.Contribute to the design and development of microservices and tools that facilitate the Machine Learning lifecycle at Optasia.Collaborate on the design and implementation of scalable, real-time microservices utilized globally.Foster continuous improvements in the development lifecycle with the team.Design, develop, and maintain large-scale Spark jobs using PySpark and Scala.Build and manage CI/CD pipelines with Jenkins.Create automation scripts using Python or Bash.Develop and deploy scalable Airflow pipelines to support the Machine Learning lifecycle.Conduct data exploration and analysis to scope, build, and refine Machine Learning proof-of-concepts (PoCs).Partner with Engineers and the Credit Risk team to design and implement solutions that deliver business value at Optasia.Optimize the codebase through Spark job tuning and refactoring.Drive enhancements to our feature engineering engine for improved efficiency.