Senior Consultant, Data Science and Analytics
Makati City
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead analytics consulting engagements across the consumer lending lifecycle
Develop predictive risk management and business intelligence solutions for lenders
Apply segmentation, regression, decision trees, machine learning and statistical modeling
Translate analytical findings into recommendations and executive-level presentations
Mentor and support junior team members
From the employer’s posting
Lead analytics consulting engagements across the consumer lending lifecycle
Develop and deliver predictive risk management and business intelligence solutions for financial services clients.
Apply advanced analytical techniques such as segmentation, regression, decision trees, machine learning, and statistical modeling to solve business problems.
Translate complex analytical findings into clear recommendations and executive-level presentations.
Mentor and support junior team members while fostering a collaborative and high-performing team environment.
Education & alternatives
Required Knowledge And Experiences - Master's or PhD degree in Statistics, Applied Mathematics, Financial Mathematics, Engineering, Operations Research, or a related quantitative field - Minimum of four (4) years of professional analytics experience within Financial Services or a related industry
Tools in this posting
- Python
- R
- SQL
- Hive
Source — Tool mentions in context
- Apply advanced analytical techniques such as segmentation, regression, decision trees, machine learning, and statistical modeling to solve business problems. - Design and develop programs for data extraction, transformation, and analysis using tools such as Python, R, SQL, and Hive. - Translate complex analytical findings into clear recommendations and executive-level presentations.
- Strong understanding of consumer lending, credit risk management, and financial services analytics - Advanced proficiency in Python or R, with experience using SQL, Hive, or other data manipulation tools - Experience applying statistical, predictive, and machine learning techniques to solve business problems
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 13 days ago
- Recorded sightings
- 48
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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Team Overview
At TransUnion, we are committed to helping businesses and consumers make informed decisions through information, insights, and technology. Our Financial Services Analytics team partners with some of the largest financial institutions to solve complex business challenges using data, advanced analytics, and innovative solutions.You'll join a highly collaborative team of analysts, statisticians, engineers, and economists who are passionate about turning data into actionable insights. With access to extensive consumer credit data, modern big data technologies, and advanced analytical tools, you'll have the opportunity to work on impactful projects while continuing to grow your technical and consulting expertise.
Whether your career goals are focused on technical leadership or people management, you'll find opportunities to develop and advance at TransUnion.


Role Overview And Core Responsibilities
As a Senior Consultant within TransUnion's Financial Services Analytics team, you will partner with leading financial institutions to solve complex business challenges through data, analytics, and consulting. You will help clients improve acquisition, portfolio performance, credit risk management, fraud prevention, and customer engagement by delivering innovative analytical solutions and actionable business insights.
In this client-facing role, you will collaborate with cross-functional teams, leverage advanced analytics techniques, and provide strategic recommendations that help clients make smarter business decisions and achieve measurable outcomes.
- Lead analytics consulting engagements across the consumer lending lifecycle, including acquisition, portfolio management, customer retention, and risk management.
- Develop and deliver predictive risk management and business intelligence solutions for financial services clients.
- Apply advanced analytical techniques such as segmentation, regression, decision trees, machine learning, and statistical modeling to solve business problems.
- Design and develop programs for data extraction, transformation, and analysis using tools such as Python, R, SQL, and Hive.
- Translate complex analytical findings into clear recommendations and executive-level presentations.
- Partner with internal and external stakeholders to identify business opportunities and develop data-driven solutions.
- Support the development of project proposals, client presentations, and solution recommendations.
- Help clients maximize the value of TransUnion's data, analytics, and decisioning capabilities.
- Mentor and support junior team members while fostering a collaborative and high-performing team environment.
- Manage multiple client projects while ensuring high-quality deliverables and strong stakeholder engagement.
Required Knowledge And Experiences
- Master's or PhD degree in Statistics, Applied Mathematics, Financial Mathematics, Engineering, Operations Research, or a related quantitative field
- Minimum of four (4) years of professional analytics experience within Financial Services or a related industry
- Proven success in client-facing consulting or advisory engagements
- Strong understanding of consumer lending, credit risk management, and financial services analytics
- Advanced proficiency in Python or R, with experience using SQL, Hive, or other data manipulation tools
- Experience applying statistical, predictive, and machine learning techniques to solve business problems
- Strong analytical thinking, problem-solving, and communication skills
- Ability to manage multiple projects and stakeholders in a fast-paced environment
- Experience presenting analytical findings and recommendations to business and executive audiences
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion's Internal Job Title:
Sr Consultant, Data Science and AnalyticsSource details
Source notes
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- Pay
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- Location & working pattern
Makati City
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