Associate Director_Data Scientist

Job Description

Role Responsibilities
• You will be building Statistical/Machine Learning models in either Python, R or PySpark to solve business problems using Advanced Analytics in Predictive and Prescriptive space.
• 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 performing data mining, exploration, and analysis.
• You will be creating data visualizations, reports, dashboards, and data audits.
• You will Design, train, and implement machine learning algorithms.
• You will leverage predictive models to optimize customer experiences.
• You will be creating automated anomaly detection.
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.
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
• Minimum 5 years of experience in the data science field with a total experience of 10 years in data, technology, and analytics space.
• Bachelors or Advanced degree in engineering, finance, accounting, mathematics, or social sciences with excellent quantitative methodological skills.
• 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.
• Experience in creating and using advanced machine learning algorithms.
• Linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g.: XGBoost), k-means, neural networks, hierarchical clustering, and principal component analysis.
Solid understanding and implementation 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
• Knowledge of data science toolkits such as R, NumPy, and MatLab.
• Experience in data visualisation.
• Expertise in data mining and machine learning.
• Working knowledge of statistical models and business intelligence.
• Strong English oral and written communications skills and experience defending research findings.
Nice To Have
• Experience with version control systems (e.g. GIT/Bitbucket).
• Experience in Cloud technologies.
• Experience in ML Ops.
• Experience with ETL and data engineering.
• Experience with Spark and other big data technologies.
• Knowledge of graph databases and knowledge graph applications in data science is a plus (e.g. Neo4j).
• Working knowledge in Fraud Risk Management, Conduct and Financial Crime Compliance domains in Bank.
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Keyskills :
financeadvisorycompliancereportingcustomer relationskeeping things simplebig datadata miningdata sciencehuman skillsmusic makinglife insurance