
Manager - Fraud Risk
- Bangalore, Karnataka
- Permanent
- Full-time
- Development of Fraud Risk models for Retail Portfolios across application, lending and digital.
- Developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of Fraud Risk models to support Standard Chartered retail businesses across the globe.
- Support Fraud Risk analytics related to Retail Portfolios including rules development and augmentation
- Achieving assigned full year objectives as per annual P3 document
- Enhancing relationship with stakeholders by providing analytical support
- Ensure adherence to all internal and external regulations
- To embed Operational Risk monitoring as an integral part of the business process. Towards this, to effectively carry out the assigned role, if any, under Compliance Risk Management Assurance.
- Collaborate with team members and stakeholders to effectively drive team deliverables
- Monitor all major risk issues and concentrations. Where appropriate, direct remedial action and/or ensure adequate reporting to Risk Committees
- Promote an environment where compliance with internal control functions and the external regulatory framework is a central priority of the business
- Display exemplary conduct and live by the Group's Values and Code of Conduct.
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
- Credit & Fraud Risk Heads
- Portfolio teams
- Model validation team
- Model risk policy and governance team
- Analytical / Strategic / Conceptual thinking
- Ability multi-task between executing a project hands-on along with guiding/overseeing Associate Managers
- Attention to detail
- Problem solving
- Verbal/Written communication
- Presentation skills
- Self-driven, highly motivated, organized and methodical
- Business - Products and Processes
- Data Science, Model Development & Analytics
- SAS/SQL/Python Proficiency
- Manage Conduct
- Manage Risk
- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
- Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections)
- 2-5 years of in-depth experience in hands-on Statistical Model Development in fraud risk for retail banking / small business / consumer finance portfolios
- Experience in Fraud Detection Modeling using machine learning algorithms to handle classification data with skewed class proportions
- Proficient in statistical programming skills in SAS (preferred) or similar (Python), strong analytical skills and understanding of quantitative and statistical analysis
- Hands-on experience in mining data and understanding data patterns
- Experience in directly interacting with Business and exposure to international markets will be a plus
- 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
- 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.