Tinvio - Lead Data Scientist - R/SQL/Python

4 weeks ago

Anywhere in IndiaMultiple Locations Tinvio Digital Services India Pvt Ltd Full time

Description :

Tinvio is built around the idea that every merchant and supplier should be able to work smarter together. Through clean design, agile engineering, and genuine support, we unlock capabilities that make them more productive and profitable. The core product is a B2B transactions platform that helps small-medium merchants and suppliers manage orders, invoices, and payments through a chat-led user interface.

Tinvio designs, develops, and launches B2B Payment and Credit user experiences for merchant-supplier transactions across multiple countries in APAC. As we do this from scratch we have complete responsibility for each product: developing the backend, the front-end, the data science infrastructure, the network integrations, and then creating a local setup in each country with varying go-to-market strategies and scalable risk management.

We have a high-intensity, high-performance, pixel-perfect culture shaped by a founding team from investment banking, venture capital, and hypergrowth unicorns in the region. Up for a bold challenge? Come join our team of builders and enablers across APAC

Backed by Sequoia, GFC, Partech, Appworks, MUFG Bank.

Summary :

As a Lead Data Scientist (Fintech), you will be responsible for use of data and modeling to measure and limit our credit/fraud risk in B2B Payments and Credit, ensure high-quality decisions, and point towards new growth opportunities through the use of statistical, machine learning, algorithmic, and experimental techniques. You should be a self-starter who thrives on uncertainty and ambiguity, and be passionate about solving real problems with huge (and messy) or sparse (and limited) data sets. This is a technical business role (i.e. you should operate asa Data Strategist) which requires both the ability to analyse, model, and draw conclusions from data, as well as to critically evaluate, present, and discuss those conclusions with cross-functional :

- Partner with multiple team members to solve complex B2B payments and credit problems that extend beyond traditional or existing solutions by applying statistical, machine learning, and econometric models on large internal and external datasets

- Develop models and simulations to measure the full distribution of credit and fraud risk outcomes and detect potential risks

- Support the development of risk mitigation strategies and interventions while preserving and improving the user experience

- Shape and influence our data models and instrumentation to generate insights and develop new products, solutions, and models

- Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written assets

Qualifications :

- 5+ years of data science/quantitative modeling experience, including 3+ years experience in credit risk modeling or underwriting

- Strong understanding of financial industry models and experience building and calibrating those models to fit specific business needs

- Experience with machine learning pipelines, data visualization, data validation, statistical testing, and presenting findings to cross-functional audience

- Expert knowledge of a scientific computing language (such as R or Python) and SQL

- Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact

- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner in excellent English since we're a regional team

- Masters or PhD in a quantitative field (e.g., Statistics, Quantitative Finance, Economics, Sciences, Engineering)

Culture :

- Join a team of bold, passionate, smart people who want to work hard and play to win

- Generous perks, awesome open office culture, fair compensation to help you work better

(ref:hirist.tech)

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