Manager - Data Solutions & Analytics

Job Summary

Key Responsibilities

• Partner with Trade Product, Sales, Coverage, Risk, and Operations teams to identify high-value business problems and translate them into advanced analytics and AI/ML use cases. 
• Lead the design, development, and deployment of analytical models and decisioning frameworks that drive client acquisition, portfolio growth, revenue optimisation, cross-sell opportunities, and risk management. 
• Develop and implement advanced analytics solutions including predictive modelling, propensity scoring, client segmentation, anomaly detection, forecasting, recommendation engines, network analytics, and early warning indicators. 
• Analyse large and complex datasets from internal and external sources to uncover actionable insights and business opportunities across the Trade franchise. 
• Evaluate emerging AI, machine learning, and GenAI capabilities and identify practical applications within Trade Finance and Transaction Banking. 
• Work closely with Data Engineering and Technology teams to define data requirements, feature engineering strategies, model deployment processes, and monitoring frameworks. 
• Develop proof-of-concepts and production-ready analytical solutions that can be scaled across products, markets, and client segments. 
• Build analytical assets and reusable frameworks that accelerate delivery of future Trade Analytics initiatives. 
• Collaborate with stakeholders to measure model performance, track business outcomes, and continuously improve analytical solutions. 
• Develop intuitive dashboards and visualisation tools that enable business users to consume and act upon analytical insights. 
• Ensure analytical solutions adhere to model governance, data governance, regulatory requirements, and enterprise architecture standards. 
• Support the development of the Trade Analytics roadmap by identifying innovative use cases that create measurable commercial impact. 

Skills and Experience

•    Advanced Analytics & Statistical Modelling  
•    Machine learning & AI
•    Statistical techniques
•    Python / R / PySpark
•    SQL
•    Tableau / Visualization Tool 
•    GenAI and LLM Based Solution  

Qualifications

Education 
•    University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
•    Minimum 4+ years working experience in data Science domain in financial service
•    Good verbal and written English communication skills. 

Languages
•    English 

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.