Job Description

Role Overview

We are seeking a Quantitative Support Analyst to become an integral part of our discretionary trading unit. This position is ideally suited for an early-career professional with a passion for financial markets, data exploration, and creative problem-solving. You will focus on engineering practical, high-impact tools that empower traders to make data-driven decisions in real-time.

Working in a decentralized, remote environment, you will bridge the gap between abstract trading hypotheses and concrete analytical reality. You will collaborate directly with seasoned discretionary traders, translating their market intuition into robust charts, metrics, and interactive platforms. Your contributions will sit at the vital intersection of trading desk operations and quantitative data science.

What You’ll Do

Architect and maintain interactive dashboards that provide traders with immediate visibility into market liquidity, active positions, and P&L performance.
Interpret qualitative trader “hunches” and transform them into quantitative tests, visual aids, or statistical metrics.
Rapidly prototype and refine lightweight signals or analytical frameworks to help traders contextualize market opportunities.
Modernize and automate data pipelines to ensure all front-end information is accurate, high-integrity, and refreshed in real-time.
Engage in continuous dialogue with the trading desk to iterate on existing tools based on evolving market conditions.

What We’re Looking For

Experience: Up to 2 years of professional history in a quantitative, data, or analyst capacity—ideally within a trading or investment ecosystem.
Education: A Master’s degree in a highly quantitative discipline (Mathematics, Physics, Engineering, or Financial Engineering).
Technical Skills: Advanced Python proficiency, with a focus on data libraries like Pandas and NumPy. Experience with visualization frameworks such as Plotly, Dash, or Streamlit is highly advantageous.
Data Mastery: Proven ability to work with SQL and manage time-series datasets effectively.
Soft Skills: Exceptional communication abilities, with the skill to explain technical data insights to non-technical trading partners.
Mindset: A self-starting, motivated individual comfortable navigating a fast-paced startup environment from a remote setting.

Nice to Have

Prior experience interacting with financial market APIs (eg, Bloomberg, Refinitiv, or crypto exchange APIs).
Foundational knowledge of backtesting methodologies or statistical hypothesis testing.
A strong aesthetic sense for UI/UX, prioritizing the creation of clean, high-performance dashboards.

Job Data Table

Category	Details
Company Name	Eka Finance
Location	London, United Kingdom
Locality	Fully Remote
Country	United Kingdom
City	London
Region	Europe
Job Type	Full-time
Salaries	£45,000 – £75,000 (Estimated)
Experience Level	Junior (0-2 years)
Travel	None
Language	English
Benefits	Remote work, collaborative team, career growth in trading

Skills & Competency Table

Key Skill	Level
Python (Pandas/NumPy)	Expert
Dashboarding (Dash/Streamlit)	Advanced
SQL & Time-Series Data	Advanced
Statistical Analysis	Intermediate
Financial Market Knowledge	Intermediate
Remote Collaboration	Expert

Salaries Pay Calculator Table

Annual Salary (Base)	Bonus (Est. 10-20%)	Total Compensation	Notes
£45,000	£4,500	£49,500	Entry-level for fresh Master’s graduates.
£60,000	£12,000	£72,000	Median for 1-2 years experience in London.
£75,000	£15,000+	£90,000+	High-end for candidates with niche API/Backtesting skills.

Job Summary

This remote, London-based role at Eka Finance involves supporting a discretionary trading team by building Python-based dashboards and analytical tools. You will translate trader intuition into data-driven signals, automate workflows, and maintain real-time market visibility. Requires a Master’s degree, strong Python/SQL skills, and up to 2 years of experience.

5 FAQs

Is this role fully remote? Yes, the position is advertised as a fully remote role within a London-based team.
What is the maximum experience required? The role is aimed at early-career professionals with up to 2 years of experience.
Do I need a specific degree? A Master’s degree in a quantitative subject (like Math, Physics, or CS) is required.
What dashboard tools are preferred? While not mandatory, experience with Dash, Plotly, or Streamlit is a significant plus.
Will I be working on automated trading? No, this role supports a discretionary trading team, meaning you build tools to help human traders make decisions.

Expert Analysis

In 2026, the “Quant-Enabled Discretionary” model is thriving. Traders no longer just use “gut feel”; they use custom Streamlit apps to validate their biases. For an analyst, the ability to rapidly prototype Transaction Cost Analysis (TCA) or Liquidity Heatmaps is the most valuable skill to ensure the desk’s survival in volatile markets.

Location & Logistics Guide

While the role is remote, Eka Finance is headquartered in London , the world’s leading hub for discretionary and systematic trading. Working for a London firm provides access to the “Square Mile” network and high-liquidity market data infrastructures, even from a decentralized location. Wikipedia URL:https://en.wikipedia.org/wiki/London

Career Path

A Quantitative Support Analyst typically advances to a Junior Quant Researcher or Execution Trader . With 2-5 years of experience, you could lead a Quant Support Desk or transition into Systematic Strategy Development , moving from building the tools to owning the trading signals yourself.

To apply for this job please visit www.efinancialcareers.co.uk.