Associate Director, Data Science

JOB SUMMARY

• We are looking for a Lead Data Scientist with strong data and analytical skills. You will be tasked with managing all aspects any new work/project assessments thoroughly from inception to delivery. You will need to build close working relationships with COO business and CDO in order to gather specific modelling requirements and define and scope the work. In addition, as Data Scientist you will also work closely with internal staff, clients and 3rd parties. 

RESPONSIBILITIES

• You will be building Statistical/Machine Learning models in either Python or R to solve business problems using Advanced Analytics.
• 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) from various Bank departments to adjust analytics solution to the business needs.

Strategy

• Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy. 

Key Responsibilities

Business

• Design Machine Learning, Natural Language and Decision Optimisation applications architecture.
• Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics.
• Translate business requirements to reporting dashboard and analytics.
• Perform advanced analytics and statistical modelling on structured and unstructured data.
• Work with software engineers to integrate and deploy AI applications.
• Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
• Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand

​​​​​​​Processes

• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.

People & Talent 

• Lead through example and build the appropriate culture and values. 

Risk Management

• Adhere to current data related policies and standards. 

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

• COO Business, CDO, internal staff, clients and 3rd parties

Other Responsibilities

• Embed Here for good and Group’s brand and values in SCNXT Data Science team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; 

Our Ideal Candidate

• 3+ years of experience in the data science field.
• Preferably higher education in one of the following fields: Math / Quantitative Methods / Econometrics / Information Systems, Physics.
• Solid experience in at least one of the following programming languages: Python or R.
• 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 using SQL.
• Experience in data visualisation.
• Experience with version control systems (e.g. GIT).
• 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).

Role Specific Technical Competencies

• Data Analysis
• Artificial Intelligence
• Machine Learning
• Python Scripting
• Business Analytics

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.

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.

Visit our careers website www.sc.com/careers