[Remote] Staff Data Scientist - Cashalo at Arta Finance

Apac, Apac, Uganda

Arta Finance Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, LendingIndustries

Requirements

Candidates should possess a Bachelor's degree in Engineering, Computer Science, or Mathematics, with over 4 years of industry experience in data mining, machine learning, statistical analysis, and predictive modeling. A deep understanding of statistics and machine learning techniques, including regression, classification, clustering, and optimization, is essential, along with experience building predictive models from scratch. Strong programming skills in Python and intermediate to advanced SQL knowledge are required, as is demonstrable experience with ML packages like scikit-learn, LightGBM, XGBoost, and SparkML. Experience using LLM tools such as Github Copilot, Cursor, or Windsurf is expected, along with an understanding of the tradeoffs between major model providers. Deep learning knowledge and experience with DL toolkits like Tensorflow, Keras, or PyTorch are preferred. Comfort working with cross-functional partners in tech, product, credit, and business, along with exceptionally strong problem-solving and communication skills, is necessary. The ideal candidate would be located in APAC, within the Philippines time zone.

Responsibilities

The Staff Data Scientist will lead the development and deployment of machine learning models for Cashalo, the Philippines-based lending business. This role involves developing data standards, analytics pipelines, and new risk models to uncover insights and drive business forward. Responsibilities include collaborating closely with the credit team to influence and utilize models, monitor business outcomes, and enhance analytical tools. The Data Scientist will also work with Cashalo's leadership to refine and execute business plans, partner with international and US credit and data science teams to identify and implement transferable learnings, and collaborate with leaders in product, engineering, marketing, and finance to align team efforts with broader company goals.

Skills

Data Mining
Machine Learning
Statistical Analysis
Predictive Modelling
Regression
Classification
Clustering
Optimization
Data Standards
Analytics Pipelines
Risk Models

Arta Finance

Provides personalized investment strategies and services

About Arta Finance

Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.

Mountain View, CaliforniaHeadquarters
2021Year Founded
$87.5MTotal Funding
SERIES_ACompany Stage
Financial ServicesIndustries
51-200Employees

Benefits

Health insurance
High deductible health plan available with HSA contribution
Complimentary one medical membership
20 weeks of parental leave
15 days PTO annually
National & company holidays

Risks

Increased competition from other AI-driven wealth management platforms could dilute market share.
Global expansion may expose Arta Finance to geopolitical risks and regulatory challenges.
Partnerships with large entities like Google Cloud may lead to dependency risks.

Differentiation

Arta Finance democratizes wealth management using AI, making it accessible to more people.
The company offers personalized investment strategies tailored to individual client needs.
Arta Finance partners with tech giants like Google Cloud to enhance platform scalability and security.

Upsides

AI-driven personalization in wealth management is gaining traction, benefiting Arta Finance.
The demand for digital wealth management platforms is projected to grow significantly by 2030.
Arta's global expansion, including Singapore, positions it as a leader in digital wealth management.

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