Qureos Mentor

Deeplight

<div>Role Summary
We are seeking an accomplished Senior Data Modeller with a strong track record in banking and consulting environments. The role involves leading the design, governance, and optimization of enterprise-wide data models, ensuring high-quality, scalable, and compliant data structures that support critical financial operations, regulatory reporting, advanced analytics, and AI. The ideal candidate combines deep technical expertise with business acumen from financial services and the ability to deliver structured solutions in complex consulting projects.
Requirements
Key Responsibilities<ul>
<li>Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.</li>
<li>Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.</li>
<li>Partner with Data Architects, Engineers, and Business Analysts to ensure data models align with both business needs and regulatory requirements (Basel III, IFRS, BCBS 239, AML/KYC).</li>
<li>Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.</li>
<li>Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.</li>
<li>Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.</li>
<li>Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.</li>
<li>Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.</li>
<li>Mentor and guide data modelers, embedding consulting-grade delivery standards.</li>
</ul>Required Qualifications<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.</li>
<li>10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.</li>
<li>Proven ability to design and implement conceptual, logical, and physical data models for banking domains(risk, finance, treasury, compliance, customer data).</li>
<li>Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).</li>
<li>Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).</li>
<li>Experience in data governance, metadata management, and regulatory reporting data structures.</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).</li>
<li>Excellent stakeholder management with experience presenting to C-levels in banks and financial regulators.</li>
</ul>Preferred Qualifications<ul>
<li>Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).</li>
<li>Hands-on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.</li>
<li>Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches.</li>
<li>Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.</li>
</ul>Tools &amp; Technologies (Relevant Exposure)<ul>
<li>Data Modeling: Erwin, ER/Studio, PowerDesigner</li>
<li>Banking Systems: Temenos, Finacle, Murex, Calypso</li>
<li>Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift</li>
<li>Governance: Collibra, Informatica, Alation</li>
<li>Analytics &amp; BI: Tableau, Power BI, SAS, Qlik</li>
<li>Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks</li>
</ul>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 Modeler

<div>Role Summary
We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward-looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.
The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI, and intelligent metadata tools will reshape how we design, manage, and discover data.
Requirements
Key Responsibilities<ul><li>
Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs.</li><li>
Translate AI use cases and regulatory/business needs into conceptual and logical data models.</li><li>
Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions.</li><li>
Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths.</li><li>
Build reusable data models and dictionaries aligned with enterprise data strategy and governance.</li><li>
Partner with engineers and architects to ensure future-proof designs, factoring in how AI-driven tools will evolve the modelling landscape.</li><li>
Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums.</li><li>
Mentor and guide junior analysts/consultants to uplift overall modelling capability.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Finance, Engineering, Computer Science, or related field.</li><li>
8&ndash;12 years&rsquo; experience in data modelling, data strategy, or data-driven consulting, with exposure to banking/financial services.</li><li>
Proven ability to translate business problems into structured data requirements and communicate them clearly.</li><li>
Experience in conceptual and logical data modelling (not just physical schema design).</li><li>
Strong consulting toolkit: structured problem-solving, stakeholder management, clear communication.</li><li>
Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting).</li><li>
Hands-on experience with data modelling tools but also a forward-looking perspective on next-gen approaches.</li><li>
Proficiency in querying databases (SQL) sufficient to validate and profile data.</li></ul>
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>

Lead Data Modeler

<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

<div><h3 class="jobSectionHeader">About the Role</h3>
We&rsquo;re looking for an experienced and personable GenAI Solutions Architect to join our growing AI delivery team. You&rsquo;ll design and build large language model (LLM) systems that move beyond experimentation and into real-world production - powering search, summarisation, knowledge assistants, and automation for enterprise clients.
This is a hands-on, execution-focused role that requires strong stakeholder management skills. You&rsquo;ll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won&rsquo;t be buried in research or building theoretical models, you&rsquo;ll be deploying actual systems that users rely on every day.
Requirements<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3><ul>
<li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li>
<li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant)</li>
<li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li>
<li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li>
<li>Collaborate with cross-functional teams - translating complex GenAI architectures into stable, maintainable features that support product delivery</li>
<li>Write and review technical design documents and remain actively involved in implementation decisions</li>
<li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li>
</ul><h3 class="jobSectionHeader">
What You&rsquo;ll Bring</h3><ul>
<li>Proven background in Machine Learning
</li><li>Proven experience building and deploying GenAI-powered applications, in enterprise or regulated environments</li>
<li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)</li>
<li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs
</li><li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li>
<li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization)</li>
<li>Proven experience supporting and/or delivering AI/ML Products
</li><li>A commercial and delivery mindset - you know how to balance speed, quality, and feasibility in fast-moving projects</li>
</ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul>
<li>Experience building multi-tenant GenAI platforms
</li><li>Exposure to enterprise-grade AI governance and security standards</li>
<li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li>
<li>Knowledge of cost-optimization strategies for LLM inference and token usage</li>
</ul><h3 class="jobSectionHeader">
This Role Is Not For</h3><ul>
<li>ML researchers focused on academic model development without delivery / product experience</li>
<li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li>
<li>Engineers who haven&rsquo;t shipped GenAI products into production environments</li>
</ul>
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>

GenAI Solutions Architect

Join Deeplight and explore 10   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Deeplight

ABOUT_COMPANY

Senior Data Modeler

Senior Data Modeler

Lead Data Modeler

Lead Data Modeler

Senior Data Scientist

Senior Data Scientist

GenAI Solutions Architect