Lead AI Security Engineering - Singapore - STANDARD CHARTERED BANK

Description

Key Responsibilities

Strategy
Towards delivering and living out our TTO Strategy 25 by

· Establish Strong Digital Foundations

· Accelerate Transformation

· Drive Process Excellence

Business

· Contribute to the strategic goals of the organisation through the application of technology.

· Solve problems through the application of technical knowledge and skill, determining when and how technology can solve business problems.

· Scope and create technical solutions that contribute to the business's strategic goals

Processes

· Identify new areas of focus and activity for both internal and external technology communities

· Develop and roll out best practice in Technology domain of expertise or their specialism.

· Rescue, remediate or provide expertise on initiatives with significant technology challenge

People & Talent

· Be a role model and build the appropriate culture and values.

· Set appropriate tone and expectations from their team and work in collaboration with risk and control partners.

· Ensure the provision of ongoing training and development of people and ensure that holders of all critical functions are suitably skilled and qualified for their roles ensuring that they have effective supervision in place to mitigate any risks.

· Employ, engage and retain high quality people.

· Work with internal business teams, cross-functional engineering teams, and external vendors.

· Effective conflict resolver and strong leadership skills to deliver on commitments and knowing when to say No to stakeholder

Risk Management

· Make recommendations (and/or implement) to relevant stakeholders on possible risk management responses to identified risks and/or findings of concerns from investigations.

· Manage escalations on PEP / Sensitive issues requiring additional assessment and/or controls

Governance

· Take personal responsibility for understanding the risk and compliance requirements of the role.

· Understand and comply with, in letter and spirit, all applicable laws, and regulations, including those governing anti-money laundering, terrorist financing, and sanctions; the Group's policies and procedures; and the Group Code of Conduct.

· Effectively and collaboratively identify, escalate, mitigate and resolve risk and compliance matters.

· Embed the Group's values and code of conduct to ensure that adherence with the highest standards of ethics, and compliance with relevant policies, processes, and regulations among employee's form part of the culture

Skills and Experience

· Data Science

· Machine Learning

· Artificial Intelligence

· Python/R

Our Ideal Candidate

· 15+ Years of experience in information technology out of which 8+ years of experience in data science and machine learning

· Overall 6+ Years of experience in information technology out of which 4+ years of experience in data science and machine learning

· Data mining or extracting usable data from valuable data sources

· Using machine learning tools to select features, create and optimize classifiers

· Carrying out preprocessing of structured and unstructured data

· Enhancing data collection procedures to include all relevant information for developing analytic systems

· Processing, cleansing, and validating the integrity of data to be used for analysis

· Analyzing large amounts of information to find patterns and solutions

· Developing prediction systems and machine learning algorithms

· Presenting results in a clear manner

· Propose solutions and strategies to tackle business challenges

· Collaborate with Business and IT teams

· Certifications: 2-3 certification related to Data science and Machine learning

· Languages: Experience with Python/R ,Go

Role Specific Technical Competencies

· Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

· Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.

· Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.

· Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.

· Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.

· Experience with Data Visualization Tools like matplotlib, ggplot, , Tableau that help to visually encode data

· Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

· Strong Software Engineering Background

· Hands-on experience with data science tools

· Problem-solving aptitude

· Analytical mind and great business sense

· Degree in Computer Science, Engineering or relevant field is preferred

· Proven Experience as Data Analyst or Data Scientist

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.

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