VP, Analytics Development Lead

Job Title: VP, Analytics Development Lead

Purpose of the role

• Analytics, Digital and Architecture (ADA) is a recently established function within Global Finance. ADA’s aim is to be the pioneering force shaping the future of analytics, engineering, and innovation to empower insight and strategic decision making in Finance. ADA is a globally diverse team; this role is a senior role within the Finance Analytics section of this wider team.
• Within ADA, The Analytics team is responsible for model development and advanced analytics in Finance. This is a role looking to bring seniority and technical expertise to the team. The focus will be on developing various analytics applications within Finance. This will involve using statistical modelling, Machine Learning algorithms and quantitative expertise to develop appropriate solutions, building methodologies in Python, handling the model lifecycle, co-ordinating projects, and use of resources across geographies. We seek a candidate with expertise in model development and python programming to oversee complete project delivery process.
• This role is for a Senior Quantitative Analyst will be maintaining, implementing, and developing financial mathematics methodologies for Finance. This a senior role to lead a pod of more junior model developers who may have indirect or direct reporting lines into this role. Additionally, it requires managing relationships with senior stakeholders within Finance.
• The ADA Analytics team aims to ensure that Finance develops models, methodologies and other analytics that bring tangible benefit to the users, housed within a robust framework and compliant with regulatory rules.

In this role, you will:

Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.)

• Act as India lead and oversee the work of more junior model developers and being able to set direction and expectations as well as supporting growth and innovation.
• Leading a team of modelers in developing best in class statistical/analytical/Machine Learning (ML) models and deploying these across various products & portfolios for global finance internal programs.
• Leading development and deployment of new tools and modelling techniques – Python, Machine Learning solutions, cloud (preferred) to live business problems on a day-to-day basis.
• Write clean, efficient, and well-documented code, with a focus on scalability and maintainability. Experience with version control (Git) and collaborative development practices.
• Drive business benefits through self-initiated projects. Act as a Subject Matter Expert (SME) in modeling. Ability to work hands-on on analysis, projects, and coach junior analysts on technical (Python, excel, data understanding, modelling techniques) and/or functional areas.
• Hands-on involvement across the various stages of modeling life cycle, like defining model scope to model development, validation, testing, documentation, scenario analysis, etc.
• Stay on top of changing regulatory needs, reporting standards and understand their impact on the models
• Manage a team that aspires to deliver high-impact data science and analytics solutions, along with actively managing the team’s workload ensuring that prioritization of activities is established with stakeholders
• Work with multiple stakeholders/functions on multiple projects simultaneously and deliver in a timely, efficient, and effective manner, while understanding the overall objective.
• Recruit, on-board, train, coach, develop talent and proactively retain high performing team members.
• Manage relationships with key stakeholders in the Business (Onshore and Offshore) to build confidence in the team, facilitate migration of additional responsibilities to the team, and enable stakeholders’ investment in development of the team.
• Lead liaising with IMR to provide support during their review, manage the action plan arising from their review, adapt model, and documentation accordingly.
• Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls
• Continuous review of process with the objective of improving the resource utilization, time taken and quality of deliverables
• Ideate, develop & deploy operational efficiency enhancing solutions using new tools, techniques, and technology.

Leadership & Teamwork 

• Effective Relationship management with stakeholders, managing service delivery
• Continuous engagement with stakeholders on evolving business and functional requirements to work towards standardization in line with group organizational initiatives
• Establishing an effective and robust communication channel with multiple stakeholders to ensure timely flow of information and continuous feedback mechanism
• Monitoring and review of all projects with stakeholders to ensure that all stated SLAs are met.
• Influence and escalate key issues in an effective way to ensure timely resolution.
• Actively support in maintaining an environment within the team which fosters knowledge sharing and open forums.
• Motivate and develop (and recognize) team members in order to meet deliverables, manage staff expectations, achieve efficiency in operations and maintain work-life balance.
• Develop the soft skills and technical competency of team through personal development plans for all team members.
• Ensure ‘key man’ or concentration risk is mitigated through an equitable distribution of work.
• Ensure the team is adequately cross-trained and cover is in place for all key functions/businesses/regions.

Others - Operational Effectiveness & Control

• Ensure all standard processes are correctly and thoroughly documented in Standard Operating Procedures (SOPs).
• Maintain service delivery of the designated finance processes per the standards set out in agreed SLAs within the HSBC operating framework taking into account key operational risk (including people & processes).
• Continuous review of processes with the objective of improving the service delivery timeframes and identify areas of improvement.
• Adherence to Group policies, audit, controls, and compliance requirements including but not limited to declaration of secrecy, data protection act, health, safety and security, clear desk policy.
• To continually assess the operational risks inherent in the processes, taking account of changing operating procedures, staff movements, legal and regulatory requirements, management restructures, and the impact of new technology.
• Effectively drive and manage change, plan business contingency and achieve cross-training.
• Ensuring business continuity plan is documented, agreed with business partner and tested as per agreed timelines

To be successful you will:

Functional Knowledge

• 8+ years of prior experience in Statistical/ Financial/ Mathematical Modeling, Data analytics, and large data handling
• Masters or Ph. D in Mathematics, Economics, Statistics, Engineering, MBA, or equivalent
• Relevant experience in analytics specifically in the fields such as Treasury Analytics, Machine Learning, anomaly detection, time-series and forecasting modeling etc. for a Banking organization
• Proficient in Python with a strong grasp of object-oriented programming, data structures, and algorithms. Experience with libraries such as NumPy, Polars, Scikit-learn, TensorFlow and PyTorch.
• Strong analytical skills with demonstrated problem solving and project management skills
• Ability to comprehend an intricate and diverse range of business problems and analyze them with limited or complex data and provide a feasible solution framework.
• Commercial acumen – good knowledge of Banking products and its dynamics, conceptual soundness of related financial ratios, P&L and drivers.
• Ability to work in cross-functional teams with strong interpersonal skills and drive for success.
• Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas.
• Strong relationship management skills across a diverse organization, especially with senior management
• Must have excellent attention to detail and work within tight deadlines ensuring a complete and accurate flow of information's between stakeholders.

Hsbc.Com/Careers

You’ll achieve more at HSBC 

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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