Job Overview 

We are looking for a bright and exceptional Engineering Lead to join our Technology team. In this role, you will work closely with Product Managers, Subject Matter Experts, Data Scientists and Software Engineers to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in distributed data processing, expertise in architecting Data Pipelines and operational skills to drive efficiency and speed.

Key Responsibilities:

• Work closely with the product and other teams to understand business requirements and translate them into robust engineering solutions.
• Architect, build and maintain data solutions and pipelines to meet business requirements.
• Engage and lead a team of talented technologists and establishing engineering best practices.
• Act as a point of contact for managing and driving production defects & stability improvements to resolution
• Oversee end-to-end data workflows from ingestion, transformation, and storage to data lake in both batch and streaming environments.
• Drive improvements in performance, reliability, and scalability of data pipelines 

Required Skills & Qualifications:

• A bachelor’s degree in computer science, Math, or other technical fields with 6-8 years of experience, Fintech domain is a plus.
• Demonstrated contribution to end-to-end delivery of enterprise-grade software
• Experience on Data Engineering, Data Lakes, Data Warehousing, Data Pipelines, Data Analytics tools.
• Experience using open-source Big Data technologies such as Spark, Hadoop, Elasticsearch, Kafka.
• Hands-on experience in enterprise application development
• Strong SQL skills and experience working with relational and NoSQL databases.
• Experience in cloud technologies is a plus
• Demonstrates advanced proficiency in Python for building scalable data pipelines, automating workflows
• Experience building scalable ETL/ELT data pipelines and data lakes/warehouses.
• Familiarity with workflow orchestration tools (Airflow, ADF, Glue Workflow, etc.).
• Solid understanding of CI/CD, version control, and DevOps practices.
• Experience working in agile, collaborative environments.
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Excellent problem-solving, communication, and leadership skills.
• Experience in leading a team of highly skilled engineers

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.

You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.

As a Senior Data Scientist you’ll be:

• Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
• Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
• Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
• Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
• Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
• Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
• Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
• Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.

WHAT ARE WE LOOKING FOR

• You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
• You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
• You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
• You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
• You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
• You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
• Familiarity with Financial Services and Fintech space is preferred.
• You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members

Highly Desirable Skills:

• Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
• A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
• Experience with Drift monitoring tools and frameworks.
• Exposure to Knowledge Graphs or graph database applications.

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.