Luxoft

Project description We are seeking an experienced Business Analyst with strong domain expertise in Treasury and Liquidity Regulatory Reporting and hands on experience with AxiomSL (Nasdaq). The role will focus on delivering and enhancing regulatory reporting solutions aligned with EBA liquidity frameworks, ensuring accurate, compliant, and efficient reporting processes. Responsibilities Taking up the role of Business Analyst to: Gather, analyse, and document business and regulatory requirements related to EBA liquidity reporting. Work closely with Finance, Risk, Treasury, and IT teams to implement and enhance liquidity reporting solutions. Translate regulatory requirements (e.g., EBA guidelines) into functional specifications and business processes. Support delivery of key liquidity metrics including: Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR) and Additional Liquidity Monitoring Metrics (ALMM). Perform data analysis, data mapping, and lineage tracing across source systems. Identify data gaps and work with stakeholders to define remediation strategies. Participate in UAT testing, validation, and reconciliation of regulatory reports. Ensure data quality, controls, and governance standards are maintained. Support regulatory change initiatives and ongoing compliance updates. Produce clear documentation including BRDs, FSDs, process flows, and data dictionaries. Skills Must have Strong experience as a Business Analyst in Banking / Financial Services. Proven expertise in Treasury and Liquidity Reporting (LCR, NSFR, ALMM). Hands on experience with AxiomSL (Nasdaq Regulatory Reporting platform). Solid understanding of EBA liquidity regulations and reporting frameworks. Strong data analysis and data mapping skills, including lineage tracing. Experience working with large data sets and complex data architectures. Familiarity with regulatory reporting data models and controls. Experience in UAT, reconciliation, and regulatory report validation. Excellent stakeholder management and communication skills. Nice to have Experience with COREP / FINREP or other EBA regulatory reports. Exposure to data platforms (e.g., SQL, Azure, Databricks). Understanding of data governance and data quality frameworks.

Project description We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort - the ideal candidate can onboard quickly and deliver with minimal ramp-up. Responsibilities Develop and run data processing and transformation workflows on the AWS data stackWrite and optimize Python scripts for data manipulation and AWS automation (boto3)Query and process datasets using SQL and AWS AthenaRun distributed data processing jobs on AWS EMR; manage data in S3Perform basic statistical analysis to support project goalsWork within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence) SKILLS Must have Python for data engineering - pandas, scipyboto3 (AWS SDK for Python)SQLHands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable) Nice to have Basic statistical analysis C++ (a plus, not required)

Luxoft is seeking a Middle Data Engineer to support a short-term data project in the United Kingdom. The role involves developing and running data processing workflows on AWS, utilizing Python and SQL to manipulate data efficiently. The ideal candidate will quickly adapt and deliver on project goals while performing tasks such as data analysis and optimization in an agile environment. Prior experience with AWS data services is essential.

Project description We are looking for a Data Engineer with strong hands on expertise in building scalable data platforms to support mortgage and lending systems. The role involves working on loan origination, servicing, and risk analytics data, enabling reporting, regulatory compliance, and business insights, using technologies including Apache Spark, Python, and BI tools such as Amazon QuickSight. Responsibilities Design, build, and maintain data pipelines supporting mortgage systems, including origination, underwriting, and servicing. Process large-scale datasets using Apache Spark, with a preference for PySpark. Develop clean, scalable, and efficient Python code. Integrate data from multiple sources such as loan systems, credit bureaus, and third party providers. Build and optimize ETL/ELT workflows for batch and near real time processing. Develop datasets and dashboards using Amazon QuickSight or comparable tools for mortgage reporting and key performance indicators. Support regulatory and compliance reporting related to loan performance and risk exposure. Ensure data quality, lineage, and governance across mortgage data platforms. Collaborate with business stakeholders in risk, underwriting, and operations to translate requirements into data solutions. Optimize the performance and scalability of data pipelines and storage systems. SKILLS Must have At least 6 years of experience in Data Engineering space. Strong experience building and maintaining data pipelines for banking data domains. Hands on expertise with Apache Spark / PySpark for large scale data processing. Strong Python development skills with emphasis on reusable, efficient code. Solid ETL/ELT engineering experience (ingestion, transformation, integration). Experience supporting data modelling for reporting/analytics use cases. Exposure to BI/dashboarding tools such as Amazon Quicksight, Power BI, Tableau (or similar). Practical experience with data quality, governance, and working in regulated environments. Nice to have N/A

Luxoft is seeking a skilled Data Engineer in Greater London to build scalable data platforms supporting mortgage and lending systems. This role involves designing and maintaining data pipelines, processing large datasets with Apache Spark, and developing efficient Python code. Candidates should have at least 6 years of experience in data engineering and familiarity with BI tools like Amazon QuickSight. The position offers a challenging environment with significant collaboration with business teams to ensure data quality and enhance reporting insights.

Luxoft is seeking an experienced software developer in the United Kingdom to join their team. The role focuses on designing, developing, and maintaining enterprise-level data processing and reporting solutions using SAP Data Services and Java technologies. The ideal candidate will have over 4 years of experience and strong skills in ETL workflows, SAP Business Objects, and cloud infrastructure management. You will work collaboratively in an Agile environment and have the opportunity to support front-end development as needed.

Project description We are seeking an experienced Senior KDB+ Developer to design, develop and optimize high performance data platforms built on kdb+. The ideal candidate will have deep expertise in kdb+ tick architecture, performance tuning at scale and close collaboration with business stakeholders-particularly within Risk functions-to deliver robust, efficient and maintainable solutions. Responsibilities Design, develop and maintain kdb+ tick systems with strong understanding of data organization, schema design and the performance implications of different architectural approaches. Build and operate solutions handling large scale, high frequency datasets, ensuring low latency, high throughput and efficient memory usage. Analyze and optimize q queries, data models and ingestion pipelines for both real time and historical workloads. Collaborate closely with Risk function teams to translate business requirements into efficient, scalable and performant code. Drive continuous improvement through refactoring, performance benchmarking and adoption of best practices. Mentor and guide junior and mid level developers, fostering a culture of technical excellence, code quality and knowledge sharing. Participate in design reviews, production support and root cause analysis of complex system issues. Work collaboratively within an Agile or iterative delivery environment, contributing to design, implementation, testing and release phases. Skills Must have 8+ years of hands-on experience in kdb+ development in a production environment. Strong expertise in q language including: table design (splayed, partitioned, segmented), in memory vs on disk trade offs, efficient joins, aggregation and windowed analytics. Deep understanding of kdb+ tick architecture including ticker plant, RDB, HDB and associated patterns. Proven experience working with large datasets and optimising queries for performance and scalability. Strong background in Unix/Linux environments, including shell scripting for automation, monitoring and operational tooling. Solid understanding of software delivery processes and methodologies (Agile, CI/CD, version control, release). Ability to communicate clearly with both technical and non technical stakeholders, demonstrating systematic reasoning and problem solving skills. Nice to have Knowledge of inter process communication mechanisms in kdb+ and integration with external systems. Experience tuning kdb+ systems for low latency and high availability. Familiarity with data quality checks, validation frameworks and operational resilience patterns. Exposure to financial markets data (market data, trading, risk, post trade workflows, equity asset class). Passion for writing clean, efficient and well structured code.

Luxoft is looking for an experienced Senior KDB+ Developer in Greater London. The successful candidate will design and optimize high-performance data platforms using kdb+. Key responsibilities include building kdb+ systems, collaborating with Risk teams, and mentoring junior developers. Candidates should have over 8 years of experience, proficiency in q language, and a solid background in performance tuning, with knowledge of Unix/Linux environments. This is an opportunity to work in a dynamic and challenging role within a leading firm.

Project description We are looking for a seasoned Blockchain Architect to lead the design and implementation of decentralized solutions. The role involves working with various blockchain platforms, smart contract development, and integrating blockchain with enterprise systems. Responsibilities Design and implement blockchain architectures and decentralized applications (DApps). Develop smart contracts using platforms like Ethereum, Hyperledger Fabric, Corda, or Polygon. Define consensus algorithms and token economics. Set up blockchain infrastructure, including nodes and networks. Ensure security through cryptographic techniques and secure design. Integrate blockchain solutions with APIs, cloud services, and enterprise systems. Lead DevOps practices for blockchain deployment. Provide technical leadership and mentor engineering teams. Translate business requirements into secure and scalable blockchain solutions. SKILLS Must have Minimum 8+ years of overall IT experience with at least 4 to 5 years in blockchain solution design, architecture, and implementation. Expertise in blockchain platforms such as Ethereum, Hyperledger Fabric, Corda, or Polygon, with hands on experience in smart contract development. Strong proficiency in programming languages (Solidity, Go, Java, Python, or Rust) for blockchain application development. Proven ability to design decentralized applications (DApps), consensus algorithms, and token economics (utility tokens, NFTs, stablecoins). Experience in blockchain infrastructure setup, including nodes, networks, and security frameworks. Deep understanding of cryptography, hashing algorithms, digital signatures, and encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands on experience with DevOps, containerization, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management, and problem solving skills with the ability to translate business needs into secure blockchain solutions.

Luxoft is seeking a Murex Batch and Performance SME based in the United Kingdom. This role entails reviewing and optimizing Murex processing, along with updating and enhancing overnight batch processing. The ideal candidate will have over 3 years experience with Murex environments and a robust technical background in scripting and Linux tools. Strong analytical, problem-solving, and organizational skills are essential. We value teamwork and communication skills as key attributes to foster strong client relationships.

Luxoft is seeking a seasoned Blockchain Architect to lead the design and implementation of decentralized solutions. The role involves working with various blockchain platforms, including Ethereum and Hyperledger, and developing smart contracts. The ideal candidate has over 8 years of IT experience, with at least 4-5 years in blockchain architecture, strong programming skills, and experience in leading technical teams.

Project description We are looking for a Data Engineer to design, develop, and maintain robust data pipelines for Deposits and Treasury applications, working with large-scale datasets and enabling financial reporting and analytics use cases. Responsibilities Design, develop, and maintain robust data pipelines for Deposits and Treasury applications. Work with large-scale structured and unstructured datasets using Apache Spark / PySpark. Develop high-quality, reusable, and efficient code in Python. Collaborate with business stakeholders to understand data requirements related to treasury products, liquidity, and deposits. Build and optimize ETL/ELT processes for data ingestion, transformation, and integration. Support data modelling for financial reporting and analytics use cases. Create and maintain data visualizations and dashboards using tools such as Amazon Quicksight, Power BI, Tableau, etc. Ensure data quality, governance, and compliance with financial regulations. Troubleshoot performance issues and optimize data workflows. Work closely with cross-functional teams including analysts, architects, and product owners. Skills Must have At least 6 years of experience in Data Engineering space. Strong experience building and maintaining data pipelines for banking data domains. Hands on expertise with Apache Spark / PySpark for large-scale data processing. Strong Python development skills with emphasis on reusable, efficient code. Solid ETL/ELT engineering experience (ingestion, transformation, integration). Experience supporting data modelling for reporting/analytics use cases. Exposure to BI/dashboarding tools such as Amazon Quicksight, Power BI, Tableau (or similar). Practical experience with data quality, governance, and working in regulated environments. Nice to have N/A

Project description We are hiring in the Middle East. There are many projects and opportunities in the region. Our team consists of frontend and backend developers, data analysts and data scientists, architects, analysts and project managers. Responsibilities Develop and maintain scalable solutions using Python, PySpark, and SQL. Design and implement data pipelines (ingestion, transformation, modelling, data quality checks, automation). Build and integrate APIs (REST, SOAP, gRPC), including authentication and authorization. Contribute to application architecture design, applying best practices and design patterns. Implement Test-Driven Development (TDD) and ensure high code quality. Support and enhance CI/CD pipelines and DevOps processes. Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry. Develop UI components and dashboards using Dash, JavaScript, and React. Integrate with market data and investment platforms. Support quantitative models and analytics (Monte Carlo simulations, pricing, risk, factor modelling). Contribute to portfolio management processes (asset allocation, rebalancing, attribution). Analyze complex datasets and deliver actionable insights for business and investment decisions. Gather and challenge business requirements, define solutions, and report on delivery progress. Collaborate within Agile teams, ensuring effective communication and alignment. Stay updated on emerging technologies and industry trends, proposing improvements. Balance short-term deliverables with long-term architectural goals. SKILLS Must have Python (Advanced), PySpark (Medium), SQL (Advanced) Dash (Python framework), JavaScript (Medium), React (Preferred), OpenFin / FTC3 (Preferred) Azure (Preferred), AWS (Medium) DataBricks (Preferred), Palantir Foundry (Medium) Test-driven Development (Advanced), CICD (Medium), DevOps (Advanced) Application Architecture design and development (Design patterns etc) Data Engineering (Ingestion, Curation, Modelling, Automation, Data Quality Checks) (Preferred) APIs (patterns, authorization, SOAP, REST, GRPC) (Advanced) Data Science (Preferred) Understand and provide insights on emerging industry trends. Domain Knowledge Knowledge / experience in financial markets and alternative asset classes (Hedge Funds) Knowledge / experience in end-to-end portfolio management (asset allocation, portfolio construction, rebalancing, implementation, attribution) Experience with sourcing data from, and integrating with, core investment and/or market data platforms Knowledge / experience with Quant processes (Monte Carlo simulation, pricing engines, optimization techniques, factor modelling, risk) Nice to have Ability to gather requirements, challenge, define structure and report upon status of deliverables. Strong collaboration and team culture, working in Agile delivery. Strong problem-solving skills and ability to effectively resolve issues in a timely manner. Excellent interpersonal skills, including collaboration, facilitation, and negotiation. Excellent written and verbal communication skills. Ability to balance the long-term ("big picture") and short-term implications of individual decisions.

Luxoft is hiring in the United Kingdom for a data engineering role focused on scalable solutions and data pipelines. Ideal candidates will be proficient in Python, SQL, and have experience with cloud platforms like AWS and Azure. Responsibilities include developing APIs, maintaining CI/CD pipelines, and collaborating in Agile teams. Candidates should also possess advanced knowledge in data engineering principles and architecture design. This role offers a unique opportunity to work with emerging technologies in a dynamic environment.

Luxoft is seeking a Senior Risk Engineer to join a global commodity trading company. You will design and maintain risk engineering systems while collaborating with traders and risk managers. The role requires a strong understanding of commodities markets, proficient Python programming, and familiarity with cloud-based platforms. Ideal candidates thrive in a fast-paced environment with multiple daily releases, demonstrating ownership and discipline in their work.

Project description Our client, a global commodity trading company committed to innovation, is seeking a Senior Risk Engineer to join their engineering team. This role operates at the intersection of commodities risk, market data, and modern software delivery. You will work in a fast paced environment, taking full ownership of problems from high level business requirements through to production deployment, often within the same day. This is a hands on engineering position involving coding, architectural design, and close collaboration with risk and trading stakeholders to translate complex domain requirements into robust, scalable solutions. Responsibilities Design, build, and maintain risk engineering systems across the full stack, with a focus on commodities risk and market data pipelines Take high level, loosely defined requirements from trading and risk stakeholders and independently infer the detail needed to deliver correct, production ready solutions Contribute to multiple daily releases in a CI/CD environment - writing code that is testable, observable, and safe to ship continuously Work within and help evolve cloud native, engineering led platforms, applying modern infrastructure and deployment practices Collaborate closely with quants, traders, and risk managers to ensure systems accurately reflect market and risk realities Participate in design reviews, code reviews, and architectural decisions with a pragmatic, delivery focused mindset Identify and address technical debt without being asked Skills Must have Solid understanding of commodities markets - price risk, mark to market, curves, and market data flows Experience building or maintaining systems that consume and process market data at scale Proficient Python practitioner - you write clean, idiomatic, well tested code as a matter of habit Working knowledge of full stack development: comfortable across backend services, APIs, and front end interfaces as needed Experienced with cloud based platforms (AWS, GCP, or Azure) and the engineering practices that go with them - containerization, infrastructure as code, managed services Fluent in agentic development workflows - you use AI assisted tooling (e.g. Copilot, Cursor, or equivalent) as a natural part of your SDLC, not as a novelty Comfortable with AI generated code review, test generation, and iterative refinement within a fast release pipeline Comfortable operating in a high velocity delivery environment with multiple releases per day Disciplined about testing, observability, and rollback - you ship fast without being reckless Able to take ambiguous, high level requirements and drive them to completion without hand holding Nice to have You are direct, low ego, and focused on outcomes. You push back when something doesn't make sense, and you do it constructively. You take ownership - if something is broken or unclear, you fix it or clarify it rather than waiting for someone else to. You are easy to work with under pressure. You have strong opinions, loosely held.

Project description We are seeking an experienced AI Infrastructure Architect with deep expertise in designing and operating scalable, secure, and high performance cloud environments for Generative AI and LLM workloads. This role is ideal for someone who combines strong AWS architectural skills with hands on experience in GPU compute, MLOps/LLMOps, and enterprise grade AI platform design. You should bring extensive experience building cloud native AI infrastructure, optimizing large scale model training and inference environments, and collaborating closely with AI/ML teams to enable advanced GenAI capabilities. You should bring strong experience in designing complex AI systems, creating detailed technical specifications, and collaborating across multidisciplinary teams to ensure seamless implementation. Responsibilities Design and implement scalable AWS infrastructure to support Generative AI and LLM workloads, including training, fine tuning, and inference. Architect secure, high performance environments using AWS core services such as Amazon SageMaker, Amazon Bedrock, Amazon EKS, AWS Lambda, and related cloud native components. Design GPU based compute environments (e.g., EC2 P series, G series) optimized for distributed training, fine tuning, and low latency inference. Implement secure VPC architectures, private endpoints, IAM policies, encryption (KMS), and enterprise grade data governance controls. Build and govern MLOps/LLMOps pipelines using SageMaker Pipelines, CodePipeline, and CI/CD best practices. Architect RAG infrastructure, including vector databases (OpenSearch, Aurora PostgreSQL with pgvector) and scalable storage solutions (S3). Establish monitoring and observability using CloudWatch, model monitoring tools, logging frameworks, and performance dashboards. Optimize infrastructure for latency, autoscaling, high availability, and cost efficiency, leveraging Spot Instances, Savings Plans, and right sizing strategies. Define disaster recovery (DR) and backup strategies across multi AZ and multi region AWS setups. Implement Infrastructure as Code (IaC) using Terraform or CloudFormation for consistent, repeatable provisioning of AI environments. Collaborate with AI/ML teams to support LLM fine tuning, prompt orchestration, inference endpoints, and model deployment workflows. Stay current with AWS GenAI advancements, evaluating new services, architectural patterns, and best practices for enterprise adoption. SKILLS Must have Extensive experience (typically 7+ years) in cloud architecture, infrastructure engineering, or platform engineering, with a strong focus on AWS. Proven expertise designing and operating AI/ML and Generative AI infrastructure at scale. Deep knowledge of AWS services relevant to AI workloads (SageMaker, Bedrock, EKS, EC2 GPU instances, Lambda, VPC, IAM, KMS, S3). Hands on experience with GPU compute, distributed training, and high performance inference environments. Strong understanding of MLOps/LLMOps practices, CI/CD pipelines, and model deployment workflows. Experience architecting secure, compliant, and highly available cloud environments. Proficiency with Infrastructure as Code (Terraform or CloudFormation). Familiarity with vector databases, RAG architectures, and scalable data storage patterns. Strong collaboration skills and the ability to work closely with AI/ML, DevOps, and engineering teams. Excellent documentation and communication skills. Nice to have n/a

A technology consulting firm in the Greater London area is seeking an experienced AI Infrastructure Architect. In this role, you will design and implement scalable AWS infrastructure to support Generative AI workloads. The ideal candidate has extensive experience in cloud architecture, particularly with AWS services relevant to AI, and strong collaborative skills with AI/ML teams. You will play a key role in optimizing high-performance environments and implementing MLOps pipelines. Competitive compensation and opportunities for growth are provided.

Project Description Luxoft is looking for a Senior Python developer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups. Responsibilities Work closely with the business team, business analysts, and architects to quickly understand the new requirements and help identify changes to the system. Work closely on a day-to-day basis with the development team, designers, copywriters, and other IT teams. The role develops and presents recommendations from analysis of the current solution, assists in design peer reviews, code peer reviews, building and unit testing functional enhancements, identifies areas for code refactoring, and reviews and contributes to development processes and procedures to assist the continual improvement of the development team activities. Offer solutions and designs to solve processes, projects or program issues, provide recommendations to improve efficiency and effectiveness, and defend and support those recommendations confidently. Strong organization, communication, and interpersonal skills; ability to communicate with both business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal. Exhibit technical thought leadership, excellent problem solving ability, and an aptitude for technical innovation. Skills Must have: 5+ years of software development experience Strong backend development experience with Python, writing clean and maintainable production code Proven experience designing and building production APIs (FastAPI preferred) Strong system and API design skills, including scalability, performance, and reliability Strong SQL skills for data modeling and query optimization Experience designing and using caching strategies Cloud experience (preferably AWS) on services beyond basic compute, storage, and databases Experience with infrastructure as code and cloud native architectures Strong debugging and problem solving skillsConsistently follows coding standards, testing practices, and code review processes Proficient with Git workflows and CI/CD pipelines Nice to have: Experience with Databricks, Spark, and data engineering workflows Familiarity with LLMs and modern AI tooling Experience with Docker and Kubernetes Understanding of event driven architectures

A technology consulting firm is looking for a Senior Python developer to enhance applications for investor portfolio management. You will collaborate with business analysts and developers, focusing on designing production APIs, improving system efficiency, and employing cloud-native solutions. The ideal candidate has at least 5 years of development experience, expertise in Python, and strong problem-solving abilities. This role offers dynamic challenges in a collaborative environment.