Assistant Vice President - Data Science

HSBC Holdings plc; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

HSBC Asset Management in Bengaluru is strengthening its Business Analytics capabilities to support investment decision‑making, portfolio analysis, risk management and operational efficiency.

You will lead the development and delivery of analytics solutions, translate business needs into scalable technology, and drive explainability and governance across models and outputs, collaborating with global teams.

Qualifications

• A minimum of 8 years’ relevant experience in asset management, investment banking or related field.
• A degree or postgraduate qualification in computer science, engineering, mathematics, finance or related discipline is mandatory.
• Strong understanding of financial instrument pricing, financial modelling and risk analytics.
• Experience with market-risk analytics, portfolio analytics and investment constraint monitoring.
• Proven software engineering experience and system design across full lifecycle.
• Experience integrating data science/ML models into production platforms with governance and CI/CD.

Responsibilities

• Lead development and delivery of analytics and investment technology solutions.
• Translate investment and risk requirements into scalable, controlled solutions.
• Design explainability features for analytics and risk outputs.
• Provide technical leadership across architecture, data integration and software engineering.
• Industrialise applications across offices with alignment to standards and security.

Skills

Financial instrument pricing

Financial modelling

Market risk analytics

Portfolio analytics

Software engineering

Data integration

Model explainability

Cloud platforms

APIs & microservices

Data governance

Education

Degree in computer science, engineering, mathematics, finance or related discipline

Tools

C#

C++

Python

Job description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

Purpose of the role

HSBC Asset Management is strengthening its Business Analytics capabilities to support investment decision‑making, portfolio analysis, risk management and operational efficiency.

The Business Analytics team brings together investment expertise, quantitative analysis, software engineering and data science. It develops and integrates solutions that help investment professionals assess portfolios, monitor investment constraints, analyse risk and understand the drivers behind analytical results.

In this role, you will be:

• Lead the development, delivery, design, integration and industrialisation of Business Analytics and investment technology solutions that support investment decision‑making, portfolio analysis, risk management and operational efficiency.
• Connect investment business needs with technology delivery by acting as a senior technology and analytics partner to investment, risk, data, operations and technology stakeholders, translating complex investment and risk requirements into practical, scalable and controlled solutions.
• Apply expertise in financial instrument pricing, financial modelling, market risk analytics, quantitative models, software engineering and solution architecture to enhance calculation capabilities for monitoring investment limits, including money market funds and other relevant portfolios.
• Design and integrate explainability capabilities into the investment analytics platform so users can understand the drivers behind analytical and risk results, ensuring models, calculations and outputs are traceable, explainable, appropriately documented and suitable for business use.
• Provide technical leadership across solution design, software engineering, data integration and application architecture, contributing to scalable and resilient architectures while integrating data science, machine learning and artificial intelligence where they deliver clear and controlled business value.
• Industrialise and extend Business Analytics applications across additional offices and locations, supporting investment restrictions and related activities while aligning with HSBC technology, architecture, security, resilience, data‑quality, data‑governance and information‑security standards.
• Establish effective operating models between application support, data support and technology delivery teams, and work through the full delivery lifecycle, including development, integration testing, user acceptance testing, release management, production implementation, incident management, root‑cause analysis and continuous improvement.
• Promote high standards of code quality, automated testing, documentation, maintainability and operational resilience; manage priorities across multiple workstreams; address dependencies, risks, resources, internal controls, risk‑management requirements, audit actions and governance processes; and build trusted relationships while communicating complex technical, quantitative and data‑science concepts clearly, influencing decisions through evidence and sound professional judgement.

To be successful you will be:

• A minimum of 8 years’ relevant experience is mandatory in asset management, investment banking, financial technology, market risk, quantitative finance or a closely related field, together with strong investment knowledge and practical technology expertise.
• A degree or postgraduate qualification is mandatory in computer science, engineering, mathematics, finance, quantitative finance or a related discipline.
• Strong understanding of financial instrument pricing, financial modelling, quantitative investment models, pricing libraries, financial calculation engines, market‑risk measures and risk‑analysis techniques.
• Experience with market‑risk analytics, investment constraints, portfolio analytics, investment‑limit monitoring, investment restrictions, portfolio compliance or money market fund analytics.
• Strong software engineering experience in C#, C++ or Python, together with solution design and application architecture, including the integration of services, calculation engines, data sources and analytical components.
• Experience delivering technology solutions across the full lifecycle, from requirements and design through development, testing, implementation and support, with knowledge of data structures, data flows, data quality, practical data governance, cloud platforms, APIs, microservices, event‑driven architectures, distributed systems, modern data platforms, data pipelines and analytical visualisation tools.
• Experience integrating data science, machine learning or artificial intelligence models into production platforms, with knowledge of model explainability, interpretability, model monitoring, model governance, DevOps, continuous integration and continuous delivery, automated testing, performance testing, production monitoring, regulatory requirements and the control environment applicable to asset management. Experience implementing solutions across multiple offices or regions is also required.
• Strong analytical and problem‑solving skills, including the ability to resolve complex and unexpected issues; experience working with senior stakeholders across business, technology, risk and operations; and the ability to provide technical leadership across geographically distributed teams and time zones through expertise, influence and collaboration

You’ll achieve more at HSBC

HSBC.com/Careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

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