Sr. Manager Data Analytics

Job description

This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

Job Summary

•

Technical requirement - Proficiency in handling large datasets using big data technologies such as Hadoop, Spark, and Hive is essential.

Advanced SQL skills for querying and optimizing database performance, along with strong programming abilities in Python, including libraries like Pandas, NumPy, and Matplotlib, are crucial.

Expertise in PySpark is needed for building and optimizing data pipelines, while advanced knowledge of Power BI is necessary for creating interactive dashboards and reports.

Additionally, strong analytical skills for data interpretation, statistical analysis, and predictive modeling, combined with proficiency in data cleaning and preparation techniques, are vital to ensure data quality and integrity.
•

Domain skill required - In the banking domain, a deep understanding of transaction banking products and services, including cash management and trade finance, is imperative.

Experience in banking client data, particularly in handling and building data models required around client profile, servicing and transactions for cash and trade business, is crucial.

The ability to communicate complex information clearly to clients, coupled with up-to-date knowledge of the banking industry, market trends, and regulatory requirements, is essential.

Strong problem-solving skills, excellent communication abilities, and a high level of attention to detail are necessary to provide exceptional client service and collaborate effectively within cross-functional teams.
•

Should be able to present their data insights to global business stakeholders.
Strategy
•

The role would be suited to a candidate having experiences in data science and analytics field - developing models, rules and algorithms from structured and unstructured sources and performing deep-dive analysis to derive data-driven decisions
•

Proven track records in building and deploying (financial services) analytic solutions that have created significant value for customers and additional revenue based on new business models.
•

Experience in building dynamic dashboard (eg Tableau, Power BI) for business stakeholders will be an absolute must
Key Responsibilities

Business
•

Experienced working in an offshore model is required since role will be based in Bangalore with business stakeholders in Singapore and other overseas locations
•

Strong data defining, structuring, labelling and developing data models to capture, store, process and use this data to generate intelligent outcomes through Data Analytics
•

The candidate will have a profound knowledge of large data sets, data management, data governance, data science and metadata.
•

The role requires close partnership with Cash, Trade, and Security Services Product organisation.

Other key stakeholders include global Sales and Implementation teams, Technology, and risk owners such as legal and compliance.
People & Talent
•

Engineering University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
•

Minimum 10 years working experience in data analytics or business intelligence units, preferably in consultancy (eg Mu Sigma, IBM, Accenture) or financial industry or FS consulting.
•

Relevant experience in using data is a pre-requisite.
•

Analytical mind with sound business insights.

Ability to translate the business problems and requirements into analytics solutions.
•

Knowledge of a variety of predictive models, machine learning algorithms and statistical techniques, e.g. logistic regression, decision tree, clustering, neural networks, support vector machines, principal component analytics, natural language processing.
•

Proficiency across the core statistical toolsets (SQL, SAS, R, Python), data visualization tools (Tableau, Qlik, Power BI) and Hadoop ecosystem.
•

In-depth knowledge of digital banking, banking products and the overall industry a strong plus
•

Good verbal and written communication skills.
•

Excellent stakeholder management skills
•

Self-motivated.

Can-do spirit
Key stakeholders
•

Global Transaction Banking (Cash, Trade) product and service managers, Senior Executive of the Bank and client facing business stakeholders
Skills and Experience

•

HIVE SQL
•

Tableau and BI tools
•

Data analysis
•

Python/R
•

Analytical modelling
•

Data modelling
Qualifications

•

Be, Btech, Mba, Pgd
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.

Required Skill Profession

Mathematical Science Occupations