Director / Lead Model Development

Job Description

Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role youve applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. The Role Responsibilities
• You will be building Statistical/Machine Learning models in either Python, R or PySpark to solve business problems using Advanced Analytics (Predictive and Prescriptive)
• You will be presenting results of your analysis and interpreting outputs of your models to give recommendations to the stakeholders
• You will be maintaining and documenting produced code and modelling process.
• You will be working with data engineers to prepare and integrate data from various data sources
• You will be helping data engineers and ML engineers with model deployment
• You will be cooperating with (both technical and non-technical) various Bank departments to adjust analytics solution to the business needs
• You will be responsible for setting technical directions and providing guidance to model developers in achieving explainable model outcomes with quality
• You will be leading a team of model developers and manage their technical performance and career development and progression
Strategy
• Awareness and understanding of the Group s business strategy and model appropriate to the role.
Business
• Awareness and understanding of the wider business, economic and market environment in which the Group operates.
Processes
• Awareness and understanding of the process universe in the CFCC domain and ensures appropriate CFCC and Group processes are followed in the execution of day to day activities
• Drive the development and maintenance of required project documentation including: business requirements, functional requirements, technical specifications and test plans
• Suggest and implement process improvement and data collection opportunities
People and Talent
• Provide leadership, management and coaching to direct reports to ensure they are highly engaged and performing to their potential.
• Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm.
• Stimulate an environment where forward planning, prioritisation, deadline management and streamlined workflows and collaborative, inclusive yet effective and efficient work practices are the norm.
• Collaborate with training teams to input to training curriculum to support closing of capability gaps.
• Ensure staff in the respective team have clearly articulated and well understood roles and responsibilities through meaningful and accurate job descriptions.
• Build a culture of effective communication within the team to keep high level of engagement within staff at all levels.
• Managing day to day tasks within the team by ensuring active communication and collaboration among the team members and stakeholders
• Develop and implement a transparent model of measuring performance through regular meetings
• Lead through example and build the appropriate culture and values. Set appropriate tone and expectations from their team and work in collaboration with stakeholders.
Risk Management
• Ensure a full understanding of the risk and control environment in area of responsibility.
Governance
• Awareness and understanding of the regulatory framework in which the firm operates, and the regulatory requirements and expectations relevant to the role
• Deliver effective governance ; challenge fellow executives effectively; and work with any local regulators in an open and cooperative manner.
Regulatory & Business Conduct
• 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.
Key Stakeholders
• Work with senior members of the CFCC team and wider business to identify risks and steps to mitigate them.
• Work with senior members of the CFCC team and wider business to communicate discrepancies in expected thresholds in models and work collaboratively in order to remediate issues as they arise.
• Supports global regulatory interaction, particularly in relation to requests for information from regulators.
• Ensure that business relationships with data providers are healthy and are in the best interests of RAA s objectives.
Other Responsibilities
• Embed Here for good and Group s brand and values
• Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
Our Ideal Candidate
• Bachelors or Advanced degree in engineering, finance, accounting, mathematics, or social sciences with excellent quantitative methodological skills.
• Minimum 5 years of experience in the data science field with total of 15 years experience in data, technology, and analytics space.
• Solid experience in at least one of the following programming languages: Python, R or PySpark
• Experience in application of statistics, classification, regression, segmentation, and dimensionality reduction methods and preferably in any of the following data science related areas: econometrics, time-series analysis, optimization methods, Bayesian statistics, natural language processing
• Solid understanding of most of the following algorithms: linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g.: XGBoost), k-means, hierarchical clustering, and principal component analysis
• Solid understanding and knowledge of the following data science concepts: bias-variance trade-off, regularization, model evaluation metrics, cross-validation, bootstrapping, hyperparameter tuning, feature selection & feature engineering
• Experience in relational databases (Hadoop/HIVE) using SQL
• Experience in data visualisation
• 3 years of relevant experience in working with large data sets using data manipulation programming techniques to identify trends and proposing new or revised analytical approaches to discover illicit activity/anomalies within data sets.
• Developing a robust, repeatable, and transparent framework for managing and monitoring models. This includes the procurement of data from source production systems (if required), simulating and comparing, creating periodical MI and dashboards, designing new dashboards as required.
• Suggesting model changes to production and test models based on observations obtained from the periodical monitoring process.
• Ensuring data obtained from model source systems and model outputs feeding in to monitoring processes is accurate, robust, and fit for purpose.
• Strong English oral and written communications skills and experience defending research findings.
• Strong skills in Apache Spark, Python, Hadoop/Hive, SQL (or other equivalent tool), Dataiku, Microsoft Office & Tableau/Power BI. DevOps skillset Bitbucket, Jenkins is an added advantage.
NICE TO HAVE:
• Experience with version control systems
• Experience in Cloud technologies
• Experience in ML Ops
• Experience with ETL and data engineering
• Experience with Spark and other big data technologies
• Project management skills preferably gained by building similar functions in other global financial institutions.
• Knowledge of graph databases and knowledge graph applications in data science is a plus (e.g. Neo4j)
• Working knowledge in Fraud Risk Management & Financial Crime Compliance domains in Bank
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Keyskills :
keeping things simplebig datadata sciencehuman skillsapache sparkmusic makinglife insurancerisk managementdata collection