Associate, CIB Model Data Strategy Team

Job Description

Job Summary Data Strategy team?s primary function is to provide support and advisory for data initiatives related to model development and monitoring. It is a part of the broader Credit Portfolio Management function within the bank. This role will focus on development and support work around our departmental data infrastructure and new data initiatives. It is a project-based role, and the core function of the role is to perform data sourcing and wrangling i.e., manipulations on data to enable efficient analysis and consumption of data by users; however, the responsibilities can extend to understanding and drawing inferences from the data related to models, working with Technology to setup databases or dashboards as needed. The candidate is also expected to be motivated, independent, and self-driven due to the nature of projects that involve multiple stakeholders. Ultimately, based on the areas that a candidate works on, he or she will be seen as an SME (Subject Matter Expert) on a particular topic with in-depth knowledge of the end-to-end lifecycle of data within a particular subject area eg: Corporate IRB PD model, IRB Model Monitoring etc. The candidate is expected to have, or quickly develop knowledge of data wrangling using different tools as well as a broader understanding of the use cases within modelling. Key Responsibilities Support data sourcing, verification, and analysis in new projects eg: Corporate PD model development Participating in discussions on data sourcing for models Understand the data architecture within and outside the bank to facilitative efficient and accurate data sourcing for models Understand the use cases of data including how PD, LGD, EAD models consume data and the expected results for building accurate models or achieve similar results Business Work with modelling stakeholders on new data initiatives and develop prototype and subsequently work with technology for implementation Processes Assess and improve current data gathering and wrangling processes by automating where possible Support ad-hoc modelling analyses when required based on data requirements Risk Management Knowledge of Data risk management and data quality Skills And Experience SQL SAS Python Credit Risk (PD modelling) Qualifications Proficiency in SQL is mandatory. SAS is strongly desirable, Python and other tools are a bonus Strong analytical mindset with excellent logical, reasoning, and problem-solving skills Understanding of Finance and risk including modelling concepts is desirable Understanding of data engineering concepts is desirable Qualified to Bachelor / Masters Level in related subjects 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.