Job Description

About Standard Chartered

We\'re an international bank, nimble enough to act, big enough for impact. For more than 160 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
• Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

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, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with 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.

Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you\'ve 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 guiding junior model developers in model design, development and testing & review of their work for quality and fit for purpose
• 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

Strategy

• Awareness and understanding of the Group\xe2\x80\x99s 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 \xe2\x80\x98effective governance\xe2\x80\x99; 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\xe2\x80\x99s 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\xe2\x80\x99s objectives.

Other Responsibilities

• Embed Here for good and Group\xe2\x80\x99s 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 10 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 \xe2\x80\x93 Bitbucket, Jenkins is an added advantage.
• Excellent collaborative and stakeholder skills and a desire to work as a part of a high functioning team of financial intelligence specialists.

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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