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subject matter expert

Visionary Tech Services LLC

<div>Visionary Tech Services (VTS) is seeking a Downstream Value Chain Optimisation Business Analyst / SME to work with a key client in the Oil &amp; Gas sector. In this role, you will drive margin uplift by optimising refining, planning, blending, scheduling, and supply &amp; distribution operations.
You will bridge technical expertise and business strategy to reshape workflows, define decision playbooks, and guide integrated scenario-based planning across the downstream value chain.
Core Focus Areas:<ul>
<li>Crude selection and crude-to-product planning</li>
<li>Refinery LP (Linear Programming) results interpretation</li>
<li>Blending optimisation and product giveaway reduction</li>
<li>Scheduling and S&amp;D (Supply &amp; Distribution) network optimisation</li>
<li>Inventory management and logistics</li>
<li>Plan vs actual analysis and benefits tracking</li>
</ul>Requirements<ul>
<li>Run discovery workshops with Planning, Blending, and S&amp;D teams to map current processes and identify pain points</li>
<li>Capture business requirements, define user stories and acceptance criteria</li>
<li>Define KPI trees, product specs/constraints, and scenario models</li>
<li>Translate LP and sensitivity results into actionable operational playbooks</li>
<li>Coordinate pilots, user acceptance testing (UAT), and benefits tracking</li>
<li>Lead creation of SOPs, training, and adoption strategies</li>
<li>Oversee plan-vs-actual reviews and margin uplift reporting</li>
<li>Prioritise optimisation backlog and guide build vs buy decisions with architects</li>
<li>Align stakeholders across Planning, Finance, and S&amp;D on scope, roadmap, and governance</li>
<li>Chair solution reviews and embed decision-making cadence using BPM tools and visual analytics</li>
<li>Assure delivery of measurable business value through structured decision science</li>
</ul>2. Job Requirements
Education:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Chemical Engineering, Operations Research, Industrial Engineering, or related discipline</li></ul>
Technical &amp; Domain Expertise:<ul>
<li>Deep domain knowledge in downstream Oil &amp; Gas operations:</li>
<li><ul><li>Crude assays, CDU, FCC, hydroprocessing units</li>
<li>Product specs, qualities, blending economics</li>
<li>Inventory and logistics operations</li>
</ul></li><li>Strong grasp of:</li>
<li><ul><li>Refinery LP models and crack spread economics</li>
<li>Scenario and sensitivity analysis</li>
<li>KPI and margin-tree design</li>
<li>Constraint/spec governance and value chain mapping</li>
</ul></li><li>Experienced in:</li>
<li><ul><li>Process redesign and cadence implementation</li>
<li>Business case development and ROI tracking</li>
<li>Change management and training delivery</li>
</ul></li><li>Familiar with integrated upstream&ndash;downstream workflows including:</li>
<li><ul><li>Plan validation</li>
<li>Market demand response</li>
<li>Portfolio assurance</li>
</ul></li></ul>Soft Skills:<ul>
<li>Business Storytelling</li>
<li>Communication</li>
<li>Expectation Management</li>
<li>Leadership</li>
<li>Problem Solving</li>
<li>Stakeholder Engagement</li>
<li>Structured Problem-Solving</li>
</ul>Tech Stack (Categories):<ul>
<li>Data Platforms</li>
<li>Optimisation &amp; Modelling Software</li>
<li>Production Optimisation Tools</li>
<li>Visualisation &amp; Workflow Tools
</li></ul>Benefits<ul>
<li>Opportunity to work on high-impact, business-critical optimisation initiatives in the Oil &amp; Gas sector</li>
<li>Direct influence on margin uplift and operational efficiency
</li><li>Collaborate with cross-functional teams spanning Planning, Finance, and Supply Chain</li>
<li>Gain exposure to enterprise-scale transformation projects with measurable outcomes</li>
<li>Lead and shape planning and decision-making frameworks in a high-stakes industry</li>
<li>Career growth through leadership and subject matter authority in a niche domain</li>
<li>Work in a fast-paced consultancy environment driving digital and operational excellence</li></ul></div>

Downstream Value Chain Optimisation Business Analyst/Subject Matter Expert - SME

Visionary Tech Services

<div>
 Visionary Tech Services (VTS) is seeking a
 
 Downstream Value Chain Optimisation Business Analyst / SME
 
 to work with a key client in the Oil &amp; Gas sector. In this role, you will drive margin uplift by optimising refining, planning, blending, scheduling, and supply &amp; distribution operations.
 
 
 You will bridge technical expertise and business strategy to reshape workflows, define decision playbooks, and guide integrated scenario-based planning across the downstream value chain.
 
 
 
 Core Focus Areas:
 
 
 
 <ul>
 <li>
 Crude selection and crude-to-product planning
 </li>
 <li>
 Refinery LP (Linear Programming) results interpretation
 </li>
 <li>
 Blending optimisation and product giveaway reduction
 </li>
 <li>
 Scheduling and S&amp;D (Supply &amp; Distribution) network optimisation
 </li>
 <li>
 Inventory management and logistics
 </li>
 <li>
 Plan vs actual analysis and benefits tracking
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Run discovery workshops with Planning, Blending, and S&amp;D teams to map current processes and identify pain points
 </li>
 <li>
 Capture business requirements, define user stories and acceptance criteria
 </li>
 <li>
 Define KPI trees, product specs/constraints, and scenario models
 </li>
 <li>
 Translate LP and sensitivity results into actionable operational playbooks
 </li>
 <li>
 Coordinate pilots, user acceptance testing (UAT), and benefits tracking
 </li>
 <li>
 Lead creation of SOPs, training, and adoption strategies
 </li>
 <li>
 Oversee plan-vs-actual reviews and margin uplift reporting
 </li>
 <li>
 Prioritise optimisation backlog and guide build vs buy decisions with architects
 </li>
 <li>
 Align stakeholders across Planning, Finance, and S&amp;D on scope, roadmap, and governance
 </li>
 <li>
 Chair solution reviews and embed decision-making cadence using BPM tools and visual analytics
 </li>
 <li>
 Assure delivery of measurable business value through structured decision science
 </li>
 <li>
 Job Requirements
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Chemical Engineering, Operations Research, Industrial Engineering, or related discipline
 
 
 </li>
 </ul>
 
 Technical &amp; Domain Expertise:
 
 
 
 <ul>
 <li>
 Deep domain knowledge in downstream Oil &amp; Gas operations:
 </li>
 <ul>
 <li>
 Crude assays, CDU, FCC, hydroprocessing units
 </li>
 <li>
 Product specs, qualities, blending economics
 </li>
 <li>
 Inventory and logistics operations
 </li>
 </ul>
 <li>
 Strong grasp of:
 </li>
 <ul>
 <li>
 Refinery LP models and crack spread economics
 </li>
 <li>
 Scenario and sensitivity analysis
 </li>
 <li>
 KPI and margin-tree design
 </li>
 <li>
 Constraint/spec governance and value chain mapping
 </li>
 </ul>
 <li>
 Experienced in:
 </li>
 <ul>
 <li>
 Process redesign and cadence implementation
 </li>
 <li>
 Business case development and ROI tracking
 </li>
 <li>
 Change management and training delivery
 </li>
 </ul>
 <li>
 Familiar with integrated upstream-downstream workflows including:
 </li>
 <ul>
 <li>
 Plan validation
 </li>
 <li>
 Market demand response
 </li>
 <li>
 Portfolio assurance
 
 
 </li>
 </ul>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Business Storytelling
 </li>
 <li>
 Communication
 </li>
 <li>
 Expectation Management
 </li>
 <li>
 Leadership
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Stakeholder Engagement
 </li>
 <li>
 Structured Problem-Solving
 
 
 </li>
 </ul>
 
 Tech Stack (Categories):
 
 
 
 <ul>
 <li>
 Data Platforms
 </li>
 <li>
 Optimisation &amp; Modelling Software
 </li>
 <li>
 Production Optimisation Tools
 </li>
 <li>
 Visualisation &amp; Workflow Tools
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Opportunity to work on high-impact, business-critical optimisation initiatives in the Oil &amp; Gas sector
 </li>
 <li>
 Direct influence on margin uplift and operational efficiency
 </li>
 <li>
 Collaborate with cross-functional teams spanning Planning, Finance, and Supply Chain
 </li>
 <li>
 Gain exposure to enterprise-scale transformation projects with measurable outcomes
 </li>
 <li>
 Lead and shape planning and decision-making frameworks in a high-stakes industry
 </li>
 <li>
 Career growth through leadership and subject matter authority in a niche domain
 </li>
 <li>
 Work in a fast-paced consultancy environment driving digital and operational excellence
 </li>
 </ul>
</div>

<div>
 Visionary Tech Services (VTS) is seeking a
 
 Trading Value Chain Optimisation Business Analyst / SME
 
 to lead the development of structured decision-making workflows across the trading lifecycle. This role will focus on enhancing
 
 portfolio optimisation
 
 ,
 
 logistics
 
 ,
 
 freight and storage strategy
 
 ,
 
 pricing insights
 
 , and
 
 risk governance
 
 , while aligning closely with upstream/downstream planning for integrated value delivery.
 
 
 The specialist will help unlock enterprise value under real-world constraints and volatile market conditions through scenario-driven planning, rigorous economic analysis, and embedded decision frameworks.
 
 
 
 Background:
 
 
 
 You should bring deep expertise in:
 
 
 <ul>
 <li>
 Trading operations: crude and product flows, logistics, pricing, crack spreads
 </li>
 <li>
 Storage and demurrage economics
 </li>
 <li>
 P&amp;L metrics, exposure management, and risk governance
 </li>
 <li>
 Energy Trading and Risk Management (ETRM) processes
 </li>
 <li>
 Cross-functional process integration with planning, finance, and operations
 </li>
 <li>
 Scenario-based planning and decision enablement under uncertainty
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Discover &amp; Define:
 </li>
 <ul>
 <li>
 Lead workshops with Trading, Risk, and Operations teams
 </li>
 <li>
 Map current-state workflows
 </li>
 <li>
 Capture detailed business requirements, user stories, and acceptance criteria aligned with enterprise KPIs
 </li>
 </ul>
 <li>
 KPIs &amp; Scenarios:
 </li>
 <ul>
 <li>
 Define KPI trees, risk metrics, P&amp;L breakdowns, and exposure limits
 </li>
 <li>
 Frame scenarios and sensitivities
 </li>
 <li>
 Build structured decision rules and playbooks
 </li>
 </ul>
 <li>
 Pilot &amp; Validate:
 </li>
 <ul>
 <li>
 Coordinate and run simulation scenarios
 </li>
 <li>
 Lead User Acceptance Testing (UAT)
 </li>
 <li>
 Track financial benefits and value uplift
 </li>
 </ul>
 <li>
 Integrate &amp; Govern:
 </li>
 <ul>
 <li>
 Integrate scenario management into enterprise planning tools and data hubs
 </li>
 <li>
 Embed scenario orchestration and decision flows using Business Process Management (BPM) frameworks
 </li>
 </ul>
 <li>
 Prioritise &amp; Align:
 </li>
 <ul>
 <li>
 Manage and maintain the optimisation backlog
 </li>
 <li>
 Drive consensus on architecture (build-vs-buy)
 </li>
 <li>
 Align Trading, Risk, Finance, and Ops teams around roadmap, guardrails, and governance
 
 
 </li>
 </ul>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in:
 </li>
 <ul>
 <li>
 Operations Research
 </li>
 <li>
 Financial Engineering
 </li>
 <li>
 Economics
 </li>
 <li>
 Industrial Engineering
 </li>
 <li>
 Or a related quantitative discipline
 
 
 </li>
 </ul>
 </ul>
 
 Technical Skills / Tech Stack:
 
 
 
 <ul>
 <li>
 Core Tools:
 </li>
 <ul>
 <li>
 Optimisation &amp; modelling software (e.g., LP/MIP solvers, decision modelling tools)
 </li>
 <li>
 Data platforms (e.g., data lakes, trading data systems)
 </li>
 <li>
 Visualisation and workflow orchestration tools (e.g., BPM tools, dashboards)
 
 
 </li>
 </ul>
 </ul>
 
 Functional Experience:
 
 
 
 <ul>
 <li>
 Expertise in trading value chains: crude/product pricing, optionality, logistics
 </li>
 <li>
 Experience with P&amp;L reporting, exposure limits, and risk trees
 </li>
 <li>
 Proven ability to run scenario planning and stress testing
 </li>
 <li>
 Skilled in defining constraints, business policies, and operational rules
 </li>
 <li>
 Capable of designing and tracking plan-vs-actual KPIs and benefits
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Business Storytelling
 </li>
 <li>
 Communication
 </li>
 <li>
 Expectation Management
 </li>
 <li>
 Stakeholder Engagement
 </li>
 <li>
 Structured Problem-Solving
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Opportunity to work with high-impact trading and optimisation projects in the oil &amp; gas sector
 </li>
 <li>
 Collaborate with senior stakeholders across trading, risk, finance, and operations
 </li>
 <li>
 Gain exposure to enterprise decision-making frameworks and advanced scenario planning
 </li>
 <li>
 Shape the integration of trading and planning systems across the value chain
 </li>
 <li>
 Be part of a fast-growing AI and data consultancy leading digital transformation in the Middle East
 </li>
 <li>
 Contribute to value-focused process redesign and data governance initiatives
 </li>
 </ul>
</div>

Trading Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

<div>Visionary Tech Services (VTS) is seeking a Trading Value Chain Optimisation Business Analyst / SME to lead the development of structured decision-making workflows across the trading lifecycle. This role will focus on enhancing portfolio optimisation, logistics, freight and storage strategy, pricing insights, and risk governance, while aligning closely with upstream/downstream planning for integrated value delivery.
The specialist will help unlock enterprise value under real-world constraints and volatile market conditions through scenario-driven planning, rigorous economic analysis, and embedded decision frameworks.
Background:
You should bring deep expertise in:<ul>
<li>Trading operations: crude and product flows, logistics, pricing, crack spreads</li>
<li>Storage and demurrage economics</li>
<li>P&amp;L metrics, exposure management, and risk governance</li>
<li>Energy Trading and Risk Management (ETRM) processes</li>
<li>Cross-functional process integration with planning, finance, and operations</li>
<li>Scenario-based planning and decision enablement under uncertainty</li>
</ul>Requirements<ul>
<li>Discover &amp; Define:</li>
<li><ul><li>Lead workshops with Trading, Risk, and Operations teams</li>
<li>Map current-state workflows</li>
<li>Capture detailed business requirements, user stories, and acceptance criteria aligned with enterprise KPIs</li>
</ul></li><li>KPIs &amp; Scenarios:</li>
<li><ul><li>Define KPI trees, risk metrics, P&amp;L breakdowns, and exposure limits</li>
<li>Frame scenarios and sensitivities</li>
<li>Build structured decision rules and playbooks</li>
</ul></li><li>Pilot &amp; Validate:</li>
<li><ul><li>Coordinate and run simulation scenarios</li>
<li>Lead User Acceptance Testing (UAT)</li>
<li>Track financial benefits and value uplift</li>
</ul></li><li>Integrate &amp; Govern:</li>
<li><ul><li>Integrate scenario management into enterprise planning tools and data hubs</li>
<li>Embed scenario orchestration and decision flows using Business Process Management (BPM) frameworks</li>
</ul></li><li>Prioritise &amp; Align:</li>
<li><ul><li>Manage and maintain the optimisation backlog</li>
<li>Drive consensus on architecture (build-vs-buy)</li>
<li>Align Trading, Risk, Finance, and Ops teams around roadmap, guardrails, and governance</li>
</ul></li></ul>Education:<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in:</li>
<li><ul><li>Operations Research</li>
<li>Financial Engineering</li>
<li>Economics</li>
<li>Industrial Engineering</li>
<li>Or a related quantitative discipline</li>
</ul></li></ul>Technical Skills / Tech Stack:<ul>
<li>Core Tools:</li>
<li><ul><li>Optimisation &amp; modelling software (e.g., LP/MIP solvers, decision modelling tools)</li>
<li>Data platforms (e.g., data lakes, trading data systems)</li>
<li>Visualisation and workflow orchestration tools (e.g., BPM tools, dashboards)</li>
</ul></li></ul>Functional Experience:<ul>
<li>Expertise in trading value chains: crude/product pricing, optionality, logistics</li>
<li>Experience with P&amp;L reporting, exposure limits, and risk trees
</li><li>Proven ability to run scenario planning and stress testing
</li><li>Skilled in defining constraints, business policies, and operational rules
</li><li>Capable of designing and tracking plan-vs-actual KPIs and benefits</li>
</ul>Soft Skills:<ul>
<li>Business Storytelling</li>
<li>Communication</li>
<li>Expectation Management</li>
<li>Stakeholder Engagement</li>
<li>Structured Problem-Solving</li>
</ul>Benefits<ul>
<li>Opportunity to work with high-impact trading and optimisation projects in the oil &amp; gas sector</li>
<li>Collaborate with senior stakeholders across trading, risk, finance, and operations
</li><li>Gain exposure to enterprise decision-making frameworks and advanced scenario planning
</li><li>Shape the integration of trading and planning systems across the value chain</li>
<li>Be part of a fast-growing AI and data consultancy leading digital transformation in the Middle East</li>
<li>Contribute to value-focused process redesign and data governance initiatives</li></ul></div>

<div>We are seeking an Upstream Value Chain Optimisation Business Analyst / SME to re-engineer workflows across subsurface, drilling, production, and field operations. This role focuses on identifying and delivering optimisation opportunities that generate measurable business value.
Core Focus Areas:<ul>
<li>Production and network optimisation</li>
<li>Lift allocation and well scheduling</li>
<li>Deferment management</li>
<li>Surveillance cadence</li>
<li>Value delivery tracking</li>
</ul>Requirements<ul>
<li>Facilitate discovery workshops with asset and production teams to map current processes and capture detailed business requirements, user stories, and acceptance criteria.</li>
<li>Define KPI trees, constraints, objective functions, and frame scenarios and what-if analyses to translate insights into operational actions and SOPs.</li>
<li>Coordinate pilot programs, conduct user acceptance testing (UAT), track benefits, and develop SOPs, training, and adoption plans with planners and operations teams.</li>
<li>Prioritize optimisation backlogs, collaborate with solution architects, and align leadership on project scope, roadmap, and KPIs.</li>
<li>Lead review sessions, manage change and governance processes, and report on value delivered relative to production, cost, and HSE targets.</li>
</ul>Education:<ul><li>
Degree in Petroleum Engineering, Operations Research, Industrial Engineering, or a related discipline.</li></ul>
Background / Experience:<ul>
<li>Strong domain expertise in upstream oil and gas operations, including production systems, system constraints, network bottlenecks, lift methods, value-for-money analysis, and deferment analysis.</li>
<li>Familiarity with planning and surveillance processes and hands-on knowledge of PI/SCADA systems, production networks, and planning cycles.</li>
<li>Experience in end-to-end value chain mapping, process redesign, KPI and target setting, economic constraint definition, scenario design, policy rule development, business case and ROI analysis, benefits tracking, change management, training, and S&amp;OP execution cadence.</li>
<li>Excellent facilitation and stakeholder management skills, including strong executive communication and experience creating business requirements, user stories, and UAT scripts.</li>
</ul>Soft Skills:<ul>
<li>Business storytelling</li>
<li>Communication</li>
<li>Expectation management</li>
<li>Leadership</li>
<li>Problem solving</li>
<li>Stakeholder engagement</li>
<li>Structured problem-solving</li>
</ul>Technical Skills:<ul><li>
Proficient with data platforms, optimisation and modeling software, production optimisation tools, and visualization/workflow tools.</li></ul>
Benefits<ul>
<li>Opportunity to influence upstream operations through process re-engineering and value optimisation.</li>
<li>Lead strategic optimisation initiatives with direct impact on production efficiency, cost reduction, and safety performance.</li>
<li>Work with cross-functional teams and senior leadership to drive business value and operational excellence.</li>
<li>Develop leadership and stakeholder management skills in a high-impact, fast-paced environment.</li>
<li>Engage with cutting-edge optimisation tools and data platforms in upstream oil and gas.</li></ul></div>

Upstream Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

<div>We are seeking a highly experienced and detail-oriented Reinsurance Subject Matter Expert (SME) to support our strategic initiatives across operations, technology transformation, data analytics, and risk management within the reinsurance domain. The ideal candidate will bring deep domain knowledge, industry best practices, and hands-on experience in both treaty and facultative reinsurance across life, health, and/or P&amp;C sectors.
This role is critical in bridging business needs with technical implementation, supporting solution design, product development, transformation programs, or client engagements.
Requirements<ul>
<li>Domain Expertise &amp; Advisory:</li>
<li><ul><li>Act as a trusted advisor and domain expert on all matters related to reinsurance (treaty, facultative, proportional, non-proportional).</li>
<li>Provide insights into industry trends, regulations, and operational challenges.</li>
<li>Collaborate with internal and client teams to define reinsurance strategies and frameworks.</li>
</ul></li><li>Solution Design &amp; Implementation:</li>
<li><ul><li>Support design and delivery of reinsurance systems, automation, and data solutions.</li>
<li>Guide functional and technical teams in developing system requirements, business rules, and workflows for reinsurance processes (ceding, assumed, accounting, claims, etc.).</li>
<li>Participate in system transformation initiatives, including core platform replacements or enhancements.</li>
</ul></li><li>Data, Analytics &amp; Reporting:</li>
<li><ul><li>Advise on reinsurance data models, data quality, and analytics frameworks.</li>
<li>Assist in developing reporting dashboards, actuarial inputs, or regulatory reporting mechanisms.</li>
<li>Provide domain support for data migration, reconciliation, and validation activities.</li>
</ul></li><li>Stakeholder Engagement:</li>
<li><ul><li>Interact with cross-functional teams, including underwriting, claims, actuarial, IT, and finance.</li>
<li>Represent the reinsurance function in client meetings, workshops, and internal strategy sessions.</li>
<li>Translate business needs into actionable requirements for developers, product managers, and analytics teams.</li>
</ul></li><li>Risk &amp; Compliance:</li>
<li><ul><li>Ensure solutions are aligned with regulatory standards (e.g., IFRS 17, Solvency II) and internal risk frameworks.</li>
<li>Contribute to risk assessments and internal audit reviews related to reinsurance processes.</li>
</ul></li></ul>Required Skills and Qualifications:<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Insurance, Finance, Actuarial Science, Business, or related discipline.</li>
<li>8+ years of experience in the reinsurance industry (life, health, or P&amp;C), with a strong understanding of operations, systems, and data.</li>
<li>Deep knowledge of treaty and facultative reinsurance structures, accounting, bordereaux management, claims processing, and reporting.</li>
<li>Experience working with reinsurance systems (e.g., SAP FS-RI, SICS, TAI, DXC, or custom platforms).</li>
<li>Strong analytical and communication skills; ability to interact with both business and technical stakeholders.</li>
<li>Familiarity with regulatory frameworks (IFRS 17, Solvency II, NAIC, etc.).</li>
</ul>Preferred Qualifications:<ul>
<li>Experience in large-scale technology transformation or data migration projects in the insurance/reinsurance sector.</li>
<li>Prior consulting experience or work with a reinsurance broker, reinsurer, or systems integrator.</li>
<li>Working knowledge of data analytics, ETL tools, or actuarial modeling environments is a plus.</li>
<li>Professional certifications (e.g., CPCU, ARe, or actuarial designations) are a plus.</li>
</ul>Benefits<ul>
<li>Work on impactful, global projects across the reinsurance and insurance landscape.</li>
<li>Collaborate with industry leaders, clients, and innovators.</li>
<li>Competitive compensation and flexible working arrangements.</li>
<li>Opportunities for long-term consulting or permanent roles in strategic programs.</li></ul></div>

Re - Insurance SME

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/Data Scientist with deep banking subject matter expertise to design, develop and implement statistical models and data-driven solutions for our enterprise clients. The successful candidates will work on risk modeling, portfolio optimization, and regulatory capital management across treasury, wholesale banking, and corporate lending divisions.
Key Responsibilities:<ul>
<li>Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li>Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines</li>
<li>Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li>Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li>Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul>Requirements
Requirements<ul>
<li>8+ years of experience in data science and statistical modeling within banking/financial services
</li><li>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</li>
<li>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
</li><li>Hands-on experience with regulatory capital models and Basel framework</li>
<li>Strong problem-solving skills and attention to detail</li>
</ul>Note: We're looking for true data scientists with solid statistical foundations AND proven banking domain expertise, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Senior Data Scientist

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Downstream Value Chain Optimisation Business Analyst/Subject Matter Expert - SME

Downstream Value Chain Optimisation Business Analyst/Subject Matter Expert - SME

Trading Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

Trading Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

Upstream Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

Re - Insurance SME

Senior Data Scientist