hire a Quantitative Equity Researcher to develop stock selection signals, maintain and enhance proprietary models, and assist in managing assigned portfolios What you will do: Research (30%): Undertake research, validation, back-testing, and production of return and risk factors; document and communicate the findings; keep current with relevant publications Infrastructure (30%): maintain and actively contribute to enhancement and design of More ❯
with Consulting background. • Good communications skills and able to demonstrate leading and mentoring teams within a Global Delivery Model. • Willing to submit personal data for specific Background Check/Validation for Finance and Government Sector clients. Preferred • Certification in Success factors Modules (EC, EC Time Management, ONB, RCM, LMS ,PMGM ,Compensation) • Minimum of 3 Full Life-cycle implementations of leading More ❯
traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. More ❯
partners. This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities More ❯
and process designs of seller enforcement and regain strategies for EU and UK marketplaces, (3) advise teams in adequate control setup, (4) drive auditing strategies and assurance missions for validation and (5) drive a comprehensive risk assessment across pillars and develop mitigations to continuously improve the companies risk posture. The ideal candidate is motivated and agile, has experience in risk More ❯
such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior experience in the CRE or CMBS industry is preferred This is More ❯
of new risk models and systems. Carry out periodic and ad-hoc risk analytics on clients, trading books, and products to inform risk-management decisions Participate in risk model validation reviews with other risk, back-office and front-office personnel or groups. Participate in new product/system reviews and represent the Risk Valuation group point of view. Build working More ❯
proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system integration Growth & Ownership: Take on More ❯
proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system integration Growth & Ownership: Take on More ❯
and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs. Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes. Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing system performance metrics. Collaborating with cross-functional teams to gather More ❯
on will be diverse and will demand a strong proficiency in multiple technologies, primarily Python and SQL. Your tasks may include feature engineering for machine learning models or data validation, integrating with external APIs, developing internal tools, creating REST APIs, and managing databases. The requirements Essential: Python software engineering experience. SQL experience. Happy working in an unstructured, dynamic, and autonomous More ❯
Pipeline Development & Maintenance Build, maintain, and optimize scalable ETL/ELT pipelines using tools such as Dagster, or similar. Ensure high data availability, reliability, and consistency through rigorous data validation and monitoring practices. Collaborate with cross-functional teams to align data pipeline requirements with business objectives and technical feasibility. Automate data workflows to improve operational efficiency and reduce manual intervention. More ❯
Product and Engineering to ensure demo environments reflect the latest features, configurations, and value-added scenarios. Support the sales cycle from solution qualification to contract closure by providing technical validation and addressing objections. Assist in the creation of RFP responses, proof-of-concept initiatives, and post-demo follow-ups. What you should bring Required Skills & Experience Bachelor's degree in More ❯
proficiency in Python, including OOP principles and clean, maintainable coding practices - Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric - Solid understanding of software engineering principles and SDLC best practices - Demonstrated success working across multiple cloud More ❯
point to the Application Support Team Key design and development of the environment Work with 3rd parties and software vendors to implement systems, upgrades and changes. Ensuring testing and validation Dealing with Stakeholders expectations and balancing workload priorities Fully understand the technical capabilities of all systems with a view to advising how they could/should be utilised Create and More ❯
serverless back-ends in days, not weeks. Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites. Prototype pilot product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat. Wear many helmets. One sprint you're spinning up CI/CD; the next you're tweaking prompts or jumping More ❯
high-performance, low-cost, and accurate data pipelines in distributed data processing platforms - Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation - Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture - Design, build More ❯
This role is responsible for ensuring Delta Intelligent Building Technologies standards and processes, along with engineering best practices, are being followed and continually improved upon throughout the design, verification, validation and manufacturing phases. Duties and Responsibilities Provide technical direction and guidance for hardware development. Identify the optimal application of technology and engineering resources to meet product development and/or More ❯
world and simulated driving data Collaborating with cross-functional teams across perception, planning, simulation, and ML infrastructure Driving alignment between model capabilities and real-world deployment constraints (latency, robustness, validation) Publishing internal technical guidance and mentoring engineers across autonomy ML Qualifications B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field 7+ years of experience building and deploying More ❯
3+ years of experience building and scaling feature flag and experimentation systems in production environments Strong understanding of experimentation methodologies, A/B testing, and statistical analysis for feature validation Experience with SQL and NoSQL databases, data pipelines, and real-time data processing at scale Deep understanding of SDK design principles and experience building developer-friendly client libraries Familiarity with More ❯
unique opportunity to take on responsibility early, drive real change, and grow alongside the business. Your day to day: ️ Model Development: Lead the end-to-end design, build and validation of our Risk Models using various modelling techniques such as GLM's and GBM's within Emblem or Python. Monitoring: Implement and maintain a monitoring framework to be able to More ❯
principles and organizational requirements. Experience applying governance, risk, and control principles. Experience in automated and manual testing of security controls. Experience facilitating meetings and conveying complex ideas. Data collection, validation, analysis, and interpretation. Experience Researching and applying latest technologies. Experience with Agile methodology. Big 4 accounting experience. Hold a professional certification such as CISA, CISM, CISSP, PCI QSA, ISO More ❯
principles and organizational requirements. Experience applying governance, risk, and control principles. Experience in automated and manual testing of security controls. Experience facilitating meetings and conveying complex ideas. Data collection, validation, analysis, and interpretation. Experience Researching and applying latest technologies. Experience with Agile methodology. Big 4 accounting experience. Hold a professional certification such as CISA, CISM, CISSP, PCI QSA, ISO More ❯
databases (SQL and NoSQL), and common cloud platforms and architecture Experience with data structures, technical integrations, and capability mapping across complex systems Familiarity with common tools for testing and validation Agile Delivery Demonstrated skill defining clear roadmaps for technically sophisticated products Ability to define, monitor, and analyse key product metrics using data-driven insights to drive continuous improvement Experience with More ❯
databases (SQL and NoSQL), and common cloud platforms and architecture Experience with data structures, technical integrations, and capability mapping across complex systems Familiarity with common tools for testing and validation Agile Delivery Demonstrated skill defining clear roadmaps for technically sophisticated products Ability to define, monitor, and analyse key product metrics using data-driven insights to drive continuous improvement Experience with More ❯
