Job Description

Role Responsibilities
Design and Develop predictive Analytical data driven models for non functional risk management for financial crime and compliance risk types. The analytical work products should transform the CFCC function with predictive risk insights that will inform and support CFCC stakeholders in taking risk management decisions of high value. The work products should have high level of model governance that will stand the test of both internal and external oversight bodies and should be able to drive insights performing quantitative analysis of both large and incomplete datasets. Stakeholders include senior management of all CFCC units.

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 should be able to articulate to senior stakeholders in business friendly language the results of the analysis
• 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 working with data engineers to prepare and integrate data from various data sources
• You will be leading a team of model developers and manage their technical performance and career development and progression
• You will be managing multiple analytical work products and projects both in BAU and Change mode
• You will also be future focused and help stakeholders in the transformation journey with Analytical work products by translating ideas into implementable actions and work products

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

People & 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 \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.
• Lead the team to achieve the outcomes set out in the Bank\xe2\x80\x99s Conduct Principles. Fair Outcomes for Clients, Effective Financial Markets, Financial Crime Compliance, The Right Environment.
• 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 candidates

• Bachelors or Advanced degree in engineering, finance, accounting, mathematics, or social sciences with excellent quantitative methodological skills.
• 10+ years of experience in data, technology, and analytics space preferably in the data science background
• Solid experience in any 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
• 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 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.

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

Role Specific Competencies

• Modelling: Data, Process, Events, Objects
• Requirements Analysis
• CFCC Policies and Standards
• Relationship Management
• Risk Assessment
• Risk Management
• Effective Communications
• Managing Change
• Cross-functional Collaboration
• Business Ethics

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 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.

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