Finkraft Careers & Recruitment

Corporate Overview & History

Founded in 2017 by a group of former investment bankers and data scientists, Finkraft set out to democratise high‑quality financial data for fintechs, wealth‑tech platforms, and institutional investors. The company launched its first API suite in 2018, offering real‑time equity, fixed‑income, and alternative‑asset pricing data sourced from global exchanges and proprietary market‑making networks. By 2020, Finkraft secured Series A funding of $12 million, enabling the establishment of its Indian engineering hub in Bangalore. Today, Finkraft serves over 300 enterprise clients across North America, Europe, and APAC, processing more than 1 billion data points daily.

Core mission: “Empower every financial product with accurate, instantly accessible data.” The firm’s growth strategy hinges on AI‑driven data enrichment, cloud‑native infrastructure, and strategic partnerships with exchanges and custodians.

Core Business Operations & Divisions

• Data Engineering & Platform Services – Builds and maintains the API gateway, data pipelines, and cloud infrastructure (AWS, GCP).
• Product & Analytics – Develops specialised data products such as ESG scores, alternative‑asset valuations, and predictive market insights.
• Client Solutions & Integration – Provides custom data feeds, SDKs, and consulting for fintech partners.
• Compliance & Risk Management – Ensures data licensing, GDPR, and local regulatory adherence.

Indian tech centres (Bangalore, Hyderabad) host 70% of the global engineering workforce, focusing on API scalability, machine‑learning models for data cleaning, and real‑time streaming services. The Mumbai office operates as the regional sales & client‑success hub, while a small compliance unit in Hyderabad handles Indian regulatory liaison.

Career Opportunities & In‑Demand Roles

Finkraft’s hiring is driven by rapid product expansion and the need for deep domain expertise. Key roles include:

• Software Engineer – Backend (Java, Go, Python) – Design high‑throughput data pipelines, micro‑services, and cloud‑native APIs.
• Data Scientist / ML Engineer – Build models for data quality, anomaly detection, and predictive analytics.
• Product Manager – FinTech Data – Define roadmap for new data products, work with clients to capture requirements.
• Quantitative Analyst – Curate pricing models, calculate risk metrics, and support ESG scoring.
• DevOps / Site Reliability Engineer – Manage Kubernetes clusters, CI/CD pipelines, and observability tooling.
• Sales & Business Development – Enterprise – Drive new client acquisition in APAC, negotiate data‑licensing contracts.
• Compliance Officer – Data Governance – Oversee licensing, GDPR, and Indian data‑privacy compliance.

Typical entry‑level positions (freshers) are:

• Software Engineer – Associate (0‑2 years)
• Data Analyst – Junior (0‑1 year)
• Technical Support Engineer – Associate

Mid‑senior roles (3‑8 years) include Senior Engineer, Lead Data Scientist, Product Lead, and Regional Sales Manager.

Hiring & Selection Process

1. Online Application – Submit resume via the careers portal or LinkedIn.
2. Aptitude & Coding Assessment – For technical roles, a 60‑minute online test (HackerRank/CodeSignal) covering data structures, algorithms, and basic SQL.
3. Technical Phone/Video Interview – 45‑minute deep‑dive on past projects, system design, and domain knowledge (e.g., market‑data feeds, streaming architectures).
4. On‑site / Virtual Panel – Two rounds: a coding/whiteboard session (pair‑programming) and a product/behaviour interview (STAR format).
5. HR & Compensation Discussion – Final interview with HR covering cultural fit, career aspirations, and salary expectations.
6. Offer & Background Verification – Formal offer letter, followed by standard background check.

Non‑technical roles (sales, compliance) replace the coding test with a case‑study or role‑play exercise.

Salary Structure, Compensation & Benefits

Additional perks include: free meals (Bangalore office), gym membership, mental‑health support, annual hackathons, and a clear promotion ladder (L1 → L2 → L3 → Principal).

Application Guidelines & Eligibility

Educational Qualifications

• Technical roles: B.Tech/M.Tech/BS/MS in Computer Science, Electrical Engineering, or related fields. A strong GPA (≥ 3.0/10) and demonstrable project work are preferred.
• Data Science: Degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline; experience with Python/R, TensorFlow/PyTorch.
• Product & Sales: MBA or equivalent with 3+ years of fintech/ SaaS experience.
• Compliance: Law degree (LL.B) or certification in data‑privacy (e.g., CIPP‑E) with 2+ years of regulatory experience.

Core Skills

• Programming: Java, Go, Python, SQL, RESTful APIs.
• Cloud: AWS (EC2, S3, Lambda) or GCP (Compute Engine, Pub/Sub).
• Data: Kafka, Flink, Snowflake, BigQuery.
• Soft Skills: Analytical thinking, communication, teamwork, customer‑centric mindset.

Applicants should submit a tailored resume, a concise cover letter highlighting relevant projects, and optionally a link to a GitHub portfolio or published research.

All applications are processed through the Finkraft Careers Portal. Candidates meeting the eligibility criteria are contacted within 7‑10 business days.

Job seekers interested in Finkraft recruitment notifications can review key eligibility criteria, age limits, pay scales, selection procedures, and application deadlines listed in the active vacancies below.