4 Performance Optimization jobs in the United Kingdom

Senior Engineer - Graphics Performance Optimization
Staines-upon-Thames, Surrey (Hybrid - 3 days onsite)
Permanent

A global leader in smart devices and consumer electronics, driving innovation through cutting-edge R&D, is seeking a Senior Engineer - Graphics Performance Optimization. The team focuses on cutting-edge work in Android graphics, AI integration, and performance optimization, shaping the n.

ZIPC1_UKTJ

• Developing and implementing cutting-edge analytical models to evaluate athlete and team performance.
• Collecting, cleaning, and processing large datasets from various sources, including wearable technology, video analysis, and match data.
• Identifying key performance indicators (KPIs) and developing dashboards to visualise trends and insights for coaches and athletes.
• Translating complex data findings into actionable recommendations for training, strategy, and player development.
• Collaborating closely with coaching staff, sports scientists, and athletes to understand their needs and provide tailored analytical support.
• Researching and incorporating new analytical methodologies and technologies to stay ahead of the curve.
• Presenting findings and insights clearly and concisely to technical and non-technical audiences.
• Ensuring data integrity, accuracy, and security across all analytical processes.
• Managing and mentoring a team of junior analysts and data scientists.
• Contributing to the development of a data-driven culture within the organisation.

• A Master's degree or PhD in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
• A minimum of 5 years of experience in sports analytics or a closely related field, with demonstrable experience in performance analysis.
• Proven expertise in statistical modelling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports biomechanics, physiology, and performance metrics across multiple sports.
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to diverse audiences.
• Proven ability to work independently and collaboratively in a remote team environment.
• Strong project management and organisational skills.
• A genuine passion for sports and a commitment to continuous learning and improvement.
• Experience with SQL and database management is highly desirable.

Location: Remote (Global)
Contract Duration: 6 months (with possible extension)
Client: Leading Saudi Arabian Bank
Type: Contract / Consultant

We are seeking a System Data Analytics Specialist with deep technical expertise in fraud analytics, digital identity systems, and Callsign platform optimization . The ideal candidate will have hands-on experience configuring, tuning, and optimizing Callsign or similar fraud detection and authentication systems within a banking or financial services environment.

You will play a key role in enhancing the accuracy, performance, and effectiveness of fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you’ll ensure the Callsign system is delivering maximum protection with minimal customer friction.

• System Optimization & Tuning
• Calibrate and fine-tune the Callsign fraud detection and authentication engine for optimal performance.
• Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds.
• Work on continuous improvement of Callsign workflows, journeys, and intervention logic.

• Data Analysis & Insights
• Conduct deep analytics on fraud event data, behavioral biometrics, and system logs.
• Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy.
• Collaborate with fraud analytics teams to detect trends and emerging threats.

• Technical Implementation
• Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers.
• Support the deployment of new fraud scenarios and machine learning models.
• Manage test environments, perform regression testing, and validate production changes.

• Stakeholder Collaboration
• Liaise with fraud strategy, IT security, and vendor teams to drive performance improvements.
• Document configurations, model changes, and system updates.
• Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities.

• Mandatory:
• Proven experience working directly with Callsign (configuration, tuning, or analytics).
• 5+ years of experience in fraud prevention, risk analytics, or authentication systems in the banking sector.
• Strong SQL, Python, and data visualization skills (e.g., Power BI, Tableau).
• Familiarity with behavioral biometrics , device fingerprinting, and event-based fraud modeling.
• Excellent analytical mindset and ability to interpret complex data flows.
• Strong communication skills in English (Arabic is a plus).

• Preferred:
• Experience with machine learning models used for fraud or risk scoring.
• Exposure to other fraud platforms (e.g., ThreatMetrix, Feedzai, SAS Fraud Management).
• Knowledge of regulatory environments in MENA banking and SAMA compliance standards.

• Fully remote engagement – work from anywhere.
• 6-month contract , with possibility of renewal.
• Opportunity to work with a top-tier Saudi financial institution on a strategic fraud prevention initiative.
• Competitive daily rate, commensurate with experience.