Full-Time

Quant Development Consultant

C++

Posted on 2/17/2026

Deadline 2/20/26
TransUnion

TransUnion

5,001-10,000 employees

Credit reporting, risk analytics, fraud detection

No salary listed

Pune, Maharashtra, India

Hybrid

Two days on-site per week required.

Category
Quantitative Finance (1)
Requirements
  • Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least seven (7) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
  • Advanced C++ programming skills, preferably in scientific computing applications. Experience designing and implementing advanced numerical algorithms. Experience with integrating popular machine learning frameworks (XGBoost, LightGBM, H2O).
  • Proficiency with statistical languages such as R or machine learning packages for Python; experience with other programming languages (Scala, Java) and HPC environments (Slurm, Univa, SGE, Torque).
  • Advanced SQL programming skills and experience with big data platforms (Hadoop, Spark, Hive); knowledge of Apache Arrow is a plus.
  • Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau).
  • Demonstrate interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
  • Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment.
  • Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving.
  • Versatile interpersonal skills with the ability to effectively communicate at multiple levels within and outside the organization
  • Proven ability to operate effectively in a complex and dynamic, matrixed environment.
  • Good verbal and written communication skills. Proven ability to translate technical concepts into actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside the organization towards desired outcomes.
  • Ability to travel 10-20% of the time.
Responsibilities
  • Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
  • Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a lead representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
  • Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will interact directly with TransUnion’s matrix partners and provide an analytic perspective and general support as needed.
  • Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
  • Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand.

TransUnion is a global information and insights company. It collects and analyzes data to provide services for businesses and consumers. For business clients, it offers credit portfolio management, marketing solutions, and fraud detection to help manage risk and make informed decisions. For consumers, it provides tools to monitor personal credit, including credit reports and scores. The platform supports enterprise use by enabling storage, identity resolution, and protection for building traditional and generative AI models. TransUnion generates revenue through three segments: U.S. Markets, International, and Consumer Interactive. Its goal is to help customers understand and manage credit risk, prevent fraud, and derive actionable insights from large data assets.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Chicago, Illinois

Founded

1968

Simplify Jobs

Simplify's Take

What believers are saying

  • Q1 2025 U.S. Information Services revenue hit $609 million, up 9% year-over-year.
  • International revenue grew 18% in FY 2025, led by India and South Africa.
  • Buró de Crédito acquisition boosts Mexico ownership to 94% for $662 million.

What critics are saying

  • VantageScore 4.0 at $0.99 cannibalizes mortgage score revenue within 12 months.
  • Equifax's 14.3% Q1 2026 growth outpaces TransUnion's 10.7%, eroding share.
  • Data privacy laws restrict consumer data access, collapsing AI training moat by 2027.

What makes TransUnion unique

  • TransUnion evolved from credit bureau to AI-powered data analytics provider with TLOxp and CreditVision.
  • OneTru platform enables AI model building for enterprise fraud prevention and identity resolution.
  • Digital Business Profile manages SMB online presence across 80+ platforms via single portal.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Mental Health Support

Disability Insurance

Paid Parental Leave

Adoption Assistance

Fertility Treatment Support

Legal Services

Long-Term Care Insurance

Commuter Benefits

Tuition Reimbursement

Charity Gift Matching

Employee Stock Purchase Plan

401(k) Retirement Plan

401(k) Company Match

Company News

Yahoo Finance
Apr 9th, 2026
TransUnion beats Q4 revenue estimates by 3.3% as data services sector shows strength

TransUnion reported fourth-quarter revenues of $1.17 billion, up 13% year on year and exceeding analysts' expectations by 3.3%. The credit bureau beat revenue estimates but missed full-year earnings per share guidance. The data and business process services sector showed strong fourth-quarter performance overall, with the 10 tracked stocks beating consensus revenue estimates by 2.9% on average. However, next quarter's revenue guidance came in 0.5% below expectations. Despite solid quarterly results, sector stocks have declined 4.9% on average since reporting earnings. TransUnion shares remained flat following its announcement and currently trade at $71.09. Chief executive Chris Cartwright said the company "finished the year strongly with results that again exceeded financial guidance.

Yahoo Finance
Mar 26th, 2026
TransUnion launches TruLookup real estate app amid 54% intrinsic discount and 17.7% YTD share price drop

TransUnion has launched TruLookup for Real Estate, a mobile-first app combining property ownership checks, fraud prevention tools and prospecting features for real estate professionals. Despite new product launches and fraud detection upgrades, TransUnion's shares have declined 17.65% year-to-date and 21.26% over one year, though three-year total shareholder returns stand at 20.25%. The stock closed at $68.62 against a fair value estimate of $94.60, suggesting a potential 53.97% discount. The company is investing in AI, machine learning and its global cloud-native OneTru platform to drive efficiency and customer retention. However, analysts note risks from tighter data privacy regulations and potential cyber incidents. TransUnion trades at 29x price-to-earnings ratio, above the 19x industry average.

PR Newswire
Mar 16th, 2026
Algebrik AI partners with TransUnion to embed credit data into AI-powered lending platform

Algebrik AI, a New York-based loan origination platform provider, has announced a strategic integration with TransUnion to embed credit and identity data directly into lending workflows. The partnership enables financial institutions using Algebrik to access TransUnion's credit scores, trended data and fraud prevention tools without additional system integrations. The collaboration aims to help credit unions, community banks and fintech lenders make faster, more inclusive lending decisions. TransUnion data is now available within Algebrik's no-code decisioning engine, allowing risk teams to deploy new underwriting strategies and evaluate thin-file borrowers more effectively. Founded to modernise loan origination technology, Algebrik offers an AI-powered, cloud-native platform that includes digital account opening, decisioning and portfolio analytics. The integration supports compliance with Fair Lending and ECOA frameworks whilst enabling scalable credit expansion.

Yahoo Finance
Mar 15th, 2026
TransUnion cuts VantageScore 4.0 price to $0.99, targeting $900M in lender and consumer savings

TransUnion has cut the price of its VantageScore 4.0 mortgage origination score to $0.99, offering it free alongside purchased FICO scores. The move aims to improve homebuyer affordability and align with Federal Housing Finance Agency efforts to increase score competition. TransUnion estimates the pricing could deliver over $900 million in potential savings for lenders and consumers. The aggressive pricing appears designed to shift mortgage credit-scoring preferences towards VantageScore 4.0 whilst enhancing TransUnion's position in housing finance policy discussions. The company recently launched its AI Analytics Orchestrator Agent, built on its OneTru platform and Google's Gemini models, connecting the mortgage pricing strategy to a broader push towards higher-value analytics services. Analysts project TransUnion revenue could reach $5.6 billion by 2028.

Yahoo Finance
Mar 5th, 2026
TransUnion launches AI Analytics Orchestrator Agent with Google Cloud to cut credit analytics from weeks to minutes

TransUnion has launched its AI Analytics Orchestrator Agent, built on its OneTru platform and powered by Google's Gemini models. The tool is designed to accelerate credit analytics for the financial services industry, reducing cycle times from weeks to hours or minutes. Currently used by internal data scientists, the Agent enables users to translate natural-language questions into production-ready analytical workflows. It integrates with TransUnion's TruIQ solutions suite and enterprise data catalog, providing transparent, step-by-step reasoning that supports auditability and governance requirements. The capability combines Google Cloud's AI technology with TransUnion's proprietary data assets and financial services expertise. In coming months, customers will gain access to the Agent for self-service analytics, expanding TransUnion's ability to deliver advanced credit intelligence with reduced resource requirements.

INACTIVE