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Ferdinand A.

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Available this week

4.0

(

1

)

22 lessons taught

Helped over 5 students

£22 - £30 per class

M

Marvin F.

Good clear tuition , enjoyed the session looking forward to next week

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About

Resume

Availability

Reviews (1)

About me

Experience

+1 year of exp. teaching at GoStudent

As a passionate Mathematics teacher, I offer exceptional distance learning opportunities and dedicated support for your educational journey. With experience teaching students of various ages and skill levels, I focus on creating an engaging and supportive environment where you can explore Math concepts and ask questions freely. I provide individual guidance and empathetic mentorship to positively motivate and inspire my students. I am a Licensed Professional Teacher with three years of experience in teaching General Mathematics subjects, including Algebra, Geometry, Probability, and Statistics. My background also includes private tutoring, where I developed personalized and adaptive teaching strategies. This experience allowed me to teach other subjects such as English and Science, furthe...

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Resume. More about Ferdinand

Teaching level

11+

A Levels

AS Levels

GCSE

International Baccalaureate

KS1

KS2

KS3

KS4

SATs

iGCSE

Advanced Higher

Higher

National 5

Adults

Languages spoken

English

Fluent

Filipino

Fluent

Highest level of education

Bachelors degree (BA or BSc)

Special needs experience

Anxiety

Autism

Mental stress

Interests & hobbies ✨

Education and learning

Outdoor activities

Self-knowledge and self-development

Technology

Reviews. What Ferdinand's students say

4.0

1 reviews

M

Marvin F.

Good clear tuition , enjoyed the session looking forward to next week

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Ferdinand A.

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30 min. trial lesson

+1 year of exp. teaching at GoStudent

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Charbel G.

4.9

(

12

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Mohamed O.

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Cameron P.

Hello! I'm a passionate and dedicated tutor currently pursuing my MSc in Financial Mathematics at the University of Birmingham. Previously, I was working full-time as a Quantitative Analyst at a Market Maker / Hedge Fund and spent time working in Venture Capital also. My journey into the world of advanced mathematics has been driven by a relentless desire to understand complex systems from the ground up, a mindset I'm excited to share with my students. My academic foundation is a BEng in Electrical & Electronic Engineering from the University of Southampton, but my learning truly accelerated during my 13 months in my previous role at a fast-paced market maker. This experience was a crucible, teaching me not just the theory but how to apply mathematical and computational skills under intense, real-world pressure. It's this unique blend of academic rigour and practical, hard-won experience that shapes my teaching. I know what it feels like to grapple with challenging material, and I believe that anyone can achieve mastery with the right guidance and a resilient mindset. My goal is to be more than just a tutor; I aim to be a coach and a mentor, helping you build not only your knowledge but also the confidence and problem-solving skills to succeed in your exams and beyond. Education: • MSc Financial Engineering, University of Birmingham, Incoming, Sep 2025 - Aug 2026 • BEng Electrical & Electronic Engineering, University of Southampton, 2:1, Oct 2021 - Aug 2024 Experience: Trireme Market Maker, Incubation Analyst, Jul 2024 - Jun 2025: • Co-led an incubation cohort of 10+ pre-trading Web3 start-ups, varying from: Infrastructure (L1s and L2s), DeFi (Yield Protocols, Liquidity Markets, DePiN and Artificial Intelligence. • Conducted daily market macro and exchange analysis, building and deploying models to help determine which CEXs are the most desirable for specific clients along with determining optimal listing times. Trireme Market Maker, Quantitative Analyst Internship, Jun-Jun 2024: • Gathered data from 5+ APIs, such as MEXC, Gate.IO and Kucoin for future listing volume forecasting on the previously mentioned CEXs and employed Python multiprocessing libraries and utilised vectorisation with NumPy and Pandas to efficiently clean and standardise data. • Built and deployed high-accuracy volume prediction models (Random Forest and XGBoost) for the first 5, 15 and 30 minutes of trading on newly listed client tokens, providing valuable insights for traders. • Built and deployed 2, 3 and 4 state Hidden Markov Models to forecast the future state/market regime of Bitcoin to understand the state distributions of each given state with the goal of determining the correlations between states. J.P Morgan Chase & Co, Quantitative Researcher Internship, Jul 2023-Aug 2023: • Supported with research in interest rate derivatives trading across EMEA and APAC markets, focusing on options pricing models and volatility surface construction for complex derivative instruments including caps, floors, and swaptions. • Collaborated on non-linear rates product development and risk management, implementing statistical models and time series analysis to support trading strategies and hedge effectiveness testing for interest rate exposure. • Conducted daily market data analysis and model validation processes, utilising Python and statistical libraries to maintain pricing accuracy and risk metrics for the derivatives book.

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Si Yeun H.

5.0

(

1

)

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30 min. trial lesson

+1 year of exp. teaching at GoStudent