Allegis Global Solutions is the exclusive Contingent HR services provider for one of the world’s leading banks.
At Allegis Global Solutions we’re proud to be the leader in global talent solutions. We draw upon decades of industry expertise to develop innovative tools, products, processes and strategies focused on outcome.
Moreover, we’re incredibly proud to have built a culture that empowers our people to make their mark while making deep connections that will last a lifetime. With our passion and culture for talent, we are truly transforming the way the World acquires talent.
Our Client is one of the world's most international banks with over 1,100 branches, offices and outlets in 67 countries. They operate in some of the world's most dynamic markets and have been for over 150 years. More than 90 per cent of their income and profits are derived from Asia, Africa and the Middle East. Their brand promise, Here for good, underlines their distinctive approach.
Job Summary
As a Data Analyst in our cross-functional squads, you will support the Product Owners in driving the outcomes of the squad to deliver on their objectives and key results. You will work closely with the Product Owners in creating data/business requirements to achieve business goals and develop the overall product roadmap. You must have proficiency in AI/ML based advanced analytics and have experience in driving digital transformation projects in Wealth Management.
We are looking for talented individuals who have functional and operational expertise. You must be a strong communicator who builds trust-based relationships within the squad and amongst stakeholders.
The candidate must possess experience in Banking / Wealth Management. The candidate must have proficiency in Data & Analytics and Recommendation systems which include Rule based, Decision trees, advance analytics and machine learning, as well as strong understanding of data platforms and data interfaces. Experience in solution designing and stakeholder management is a plus.
Responsibilities
- Collaborate with business stakeholders to understand their needs and translate them into detailed GenAI use case requirements.
- Work closely with data scientists and AI developers to ensure the technical feasibility and successful implementation of AI solutions.
- Create Data/Business requirements and follow through with walkthrough with Technology team for functional implementation.
- Create use cases / framework around the analytics space (e.g. AI / NLP / NLU).
- Data preparation for scenario testing.
- Crafting AI prompts to get desired outputs. Using your human judgment to identify what’s lacking in AI-generated output and then refining prompts to optimize output.
- Validating outputs are in line with expected controls and constraints.
- Testing and analysing outputs from the AI LLM models, by experimenting with different prompts. Considering the ethics, cultural sensitivity, fairness, and bias involved with a prompt and the output it enables.
- Embedding AI prompts into applications and software for use in automating complex or repetitive tasks.
- Support the Product Owners for implementation of digital advisory tools from ideation, design, development, and adoption.
- Identify, refine, and document business requirements throughout the life cycle of implementation.
- Design and develop platform and supporting data sources/interface.
- Perform analysis and prepare test cases covering various scenarios.
- Participate in UAT and ensure contribution towards successful delivery/implementation.
- Ensure proper documentation and sign off from stakeholders are properly maintained.
- Liaise with key stakeholders, cross-functional team, reporting teams and with application vendors as applicable.
- Maintain timely & Quality delivery of all tasks / activities assigned.
- Communicate efficiently the business process requirements to IT staff, program staff and stakeholder.
- Bridge vendor products and internal technology and build a best-in-class advisory platform, fully integrating investment ideas.
- To liaise with external providers, research and evaluate tools and products, and onboard and collaborate where suitable, to increase Digital Advisory efficiency and effectiveness.
- To stay abreast of industry developments related to investment advisory and portfolio construction and incorporate best practices where possible.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field
- Experience with Generative AI technologies and prompt engineering.
- Experience in programming languages such as Python or R.
- 5+ years in Digital banking initiatives especially on Mobile Banking, Online Banking, RM dashboard, or any other digital channels or devices
- Experience in client personalization, digital analytics and recommendation systems
- 5+ years in Digital & technology implementations, preferably in a large wealth management organization, handling complex implementations
- Experience with dealing with emerging technologies, proofs of concepts, driving pilots, and product evaluations utilizing innovative client engagement technology
- 5+ years Product Delivery Experience.
- Proven experience in Scrum or similar Agile development methodology.
- Be a self-starter that thrives in the face of challenge, clearing obstacles with a resourceful and creative approach to problem-solving.
- Understanding the Customer Experience design and user experience principle
- Expertise in external vendor and product management.
- Document processes, models, and workflows for future reference.
- Provide training and support to team members on AI tools and techniques.
Skills
- Strong intellect with superior analytical, problem solving and decision-making skills.
- Strong interpersonal skills with the ability to collaborate with multi-functional, multi-cultural, multi-product teams to achieve superior results.
- Strong communication skills – oral, written and presentation to explain complex or technical issues for a broad audience.
- Strong ability to map the client requirements into functional specifications.
- Experienced with designing customer journeys.
- Experienced with design and delivery of Digital applications such as Mobile applications.
- Experienced with innovative projects / Proof of Concepts (PoC) using Analytics, AI and NLP technologies.
- Experienced with managing delivery with scrum masters, technical developers, and architects.
- Ability to manage the effective planning, implementation, evaluation and sustainment of product backlogs, to ensure the achievement of anticipated benefits, using Agile methodology.
- Good understanding of wealth management products and investments
