Assistant Manager - Predictive Analytics - Financial Services Group

Overall Job Purpose

- Independently work on as well as lead projects in the areas of - Risk and Fraud Analytics, Customer Analytics, Digital Analytics, Distribution Analytics, Marketing Analytics, Operations Analytics and HR Analytics - for UK, Asia and US geographies

- Lead projects independently that involve

Statistical modelling (predictive analytics, forecasting, segmentation), data analysis and mining

Analytical solutioning skills

Pre-sales and business development support

- Core experience in predictive modelling preferably with Financial Services or E-commerce

- Manage projects independently and mentor and guide team members

- Manage Stakeholder Relationships

- People management for small function teams within Analytics vertical

- Expert in any one of: R, Python, SQL, SAS, SPSS

- Preferred experience in Risk or Fraud/neural network analytics or exposure with digital data

Accountabilities/Responsibilities

Delivery

- Develop Statistical Models: Apply advanced analytical techniques such as regression modelling, time-series analysis, cluster & factor analysis and segmentation to create different models

- to understand and analyse customer behaviour and help build forecasting modes / propensity models to gain more insights into customer behaviour

- build risk scorecards- behaviour and application

- to understand distribution effectiveness of various channels - channel optimization

- to establish linkage between marketing effort spend and its effectiveness

- to forecast business volumes (e.g. product sales, transaction volumes etc)

- Contribute to product development through help in implement algorithms: These are user developed applications and are also built as part of the consultative engagement to analyze the specific hypotheses and as decision aiding tools

- Build Scorecards for Risk and Fraud.

- Develop analytical solutions: Develop solutions for interventions in other functions such as Customer Service, HR, Risk and Audit

Stakeholder Management

- Manage Stakeholder interactions by having regular updates and growing stakeholder engagement

- Meeting /exceeding quality and timeline expectations for all projects

- Design, plan and scope out projects with stakeholders

- Explain project methodology and project approach to required stakeholders

Project Management and Training

- Manage end to end deliverables of the project by adhering to timelines, project budgets and stakeholder expectations

- Ensure that the Standard Operating Procedures are followed where applicable and all relevant documents are updated

- Work with juniors on projects and coach them on-the-job

- Conduct in-house trainings on - Predictive Modeling, SAS, SPSS, Minitab, SQL, VB etc. depending on teams- requirements

People Management

- Day-to-day management and oversight for small functional teams within Analytics vertical. This would include

- People evaluation and program management

- Career counselling and coaching

- Workflow allocation within the team

- Escalation handling and management

Business Development

- Work with the Analytics Sr Manager and KS Business Development Manager / KS Head to develop pipeline for projects further through

- Assisting in writing proposals and presenting them to stakeholders

- Introducing the capability to the relevant businesses across multiple for a

- Develop personal in-depth relationship with key business leaders and ensure continuous inflow of Business-As-Usual and project work

Key Interfaces

Internal External

- Analytics leadership, KS leadership

- Local Business Unit leaders for UK, US and Asian geographies

Competence / Knowledge / Skills required

Required:

- 4-7+ years of experience in the Analytics / Quantitative modelling or closely related field

- Master's in Statistics / Operations Research / Econometrics / Financial Engineering or related areas with a Bachelor's in Engineering / Science / Statistics / Operations Research / Economics or related fields

- Expertise in a few of the statistical platforms such as SPSS / SAS / R / SQL /Python/ SPSS - Clementine

- Expertise in applying advanced predictive statistical techniques to develop regression, time-series, segmentation models. Exposure to design of experiments or neural network.

- Basics of database management systems

- Advanced skill in MS-Applications (Word, Excel, PowerPoint)

- Visual Basic for Applications for MS Office

- Ability to summarise and effectively present complex analytical insights, observations and recommendations to an audience using business language

- Excellent oral and written communication skills

- Ability to work alone or with limited supervision

- Responsibility and Attention to Detail - Take responsibility for delivery of precise and accurate analyses, models, dashboards and reports to tight timescales and work to resolve problems when they occur

- Proactive attitude towards continuous learning and self development

- Project management skills - ability to scope business requirements, plan series of activities and schedule them within a small project team (AM + 1 Analyst)

- Coaching skills - ability to impart gained technical knowledge and develop junior analysts

- People leadership skills - coaching, career counselling, mentoring and capability development

- Excellent stakeholder management skills - networking, identifying solution gaps and excellent service oriented minds-et

Good to have :

- Exposure to Operations Research techniques (optimization, simulation and heuristics)

- Knowledge of marketing domain; campaign development, delivery and analysis; customer targeting techniques

- Exposure to insurance domain and financial services industry

- Knowledge of significant regulatory processes, specifically including data protection

- International work experience

About the Company :

One of the international UK based financial services group with significant operations in Asia, the US and the UK with around 24 million customers- base and - 496 billion of assets under management.