Senior Software Engineer – Finance & Risk Data Solutions (Python/PySpark)

Jersey City, New Jersey, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

YesVisa

Finance, Risk Management, Consulting, BiotechnologyIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, coupled with over 6 years of professional software engineering experience. Essential skills include strong expertise in Python with Pandas and NumPy, proficiency in PySpark for large-scale data processing, and solid experience with SQL databases such as Oracle or PostgreSQL. Familiarity with building and consuming APIs, working with JSON/CSV data, modern SDLC practices, version control, and collaboration tools is also required, alongside strong problem-solving, communication, and documentation skills.

Responsibilities

The Senior Software Engineer will design, develop, and enhance software solutions adhering to best practices for maintainability, security, scalability, and testability. Responsibilities include building and optimizing data processing pipelines using Python, PySpark, and SQL, and supporting the full application lifecycle from development and testing through deployment and production support. The role involves analyzing requirements, proposing solutions, ensuring timely delivery of high-quality applications, maintaining and improving existing applications, resolving issues, and collaborating with stakeholders and international peers to meet defined standards. Contributions to documentation, QA processes, and continuous improvement initiatives are also expected.

Skills

Python

PySpark

SQL

Data Processing

Database Management

Software Development

Application Lifecycle Management

Testing

Deployment

Production Support

Requirements Analysis

Documentation

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters

2011Year Founded

$341.1MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.

Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.

Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.

The company provides instant credit and expansive bill payment options via a single app.

Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.

Apple's NFC chip opening may allow Tala to offer more seamless payment options.

Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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