Senior Associate – Data Engineering
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To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
You will play an integral role in serving multiple insurance and non-insurance clients which includes the following but are not limited to:
Assisting insurers modernize their processes by leveraging new technology and methods to simplify their processes, improve their ability to gain insights from their data, and reduce their costs
Helping insurers improve the predictive ability of their models harnessing their data and leveraging machine learning and artificial intelligence.
Using the same techniques to assist insures and other financial services companies in optimizing their balance sheet and risk profiles
Supporting financial services and other multinational companies assess the impact of climate change on their business.
Specific responsibilities include but are not limited to:
Participating in a wide range of projects and collaborating across multiple work streams or teams; consistently demonstrating creative thinking, individual initiative and timely completion of assigned work.
Consistently demonstrating teamwork dynamics by working as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seek guidance, clarification and feedback.
Ability to prepare deliverables within stringent deadlines.
Keep up to date with local, national and international business and economic issues.
Contribute to the development of your own and team’s technical acumen.
Serve as participant on communications with numerous Engagement teams
A career in this practice will provide you the opportunity to help organizations by providing technical actuarial services. You will have the opportunity to specialize in some of the following:
Demonstrating extensive abilities and/or a proven record of success, as both an individual contributor and team member with identifying and addressing client needs by:
Demonstrating understanding of financial stochastic models and producing optimized code efficiently
Demonstrating understanding of database architecture and data manipulation, knowledge of statistics, regression models, predictive analytics techniques
Communicating complex financial concepts in a clear, concise and understandable form tailored to the background and capabilities of the audience
Creating a positive environment by monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members
Delivering clear requests for information
Providing candid, meaningful feedback in a timely manner
Keeping leadership informed of progress, issues, or potential conflicts.
Requirements:
Master’s / Bachelor’s in Data Processing or Data Science / Operations Management or Research / Mathematical Statistics / Applied Mathematics / Financial Mathematics / Actuarial Science or other related fields of study
Work Experience ranges as below:
Senior Associate – 2 to 3 years for the members / associate of Actuarial Institutions and/or similar work experience.
Senior Associate 2 – 3 to 5 years for the members / associate of Actuarial Institutions and/or similar work experience.
Advance knowledge on Microsoft Office especially Excel
An additional knowledge of either of the following would be needed:
Proficient in Python and financial engineering or numerical libraries (numpy, pandas)
Proficient in SQL knowledge and database structure
Knowledge of BI (Tableau, PowerBI, QuickSight)
An additional knowledge of either of the following would be preferred:
Data visualization skills (Python dash or plotly, Tableau, Excel)
AWS / Azure experience, web development (Python / C#) experience
Proficient written and verbal English communication skills
Commitment to continuous training and to proactively learn new processes
Team player – committed to providing high quality and maintaining timeliness
Demonstrated self-motivation and a desire to take responsibility for personal growth and development.
Additional application instructions
Please attach the following documents along with your CV when you submit an online application:
Academic Certificates and Transcripts, from SPM onwards (or equivalent)
A copy of your NRIC or passport
Recent passport size photo
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